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About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.Key responsibilitiesReliability & Platform OwnershipOwn the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.Define and operationalise SLOs, SLIs, and error budgets across platform services.Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.Partner with ML, platform, and software teams to establish clear production readiness standards.Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.Lead incident triage, escalation, communications, and root cause analysis.Translate post-incident learning into durable architectural or automation improvements.Continuously reduce alert noise and recurring operational burden.Observability & Operational ExcellenceDesign and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).Improve deployment safety through better change management, validation, and rollback mechanisms.Automation & ToolingBuild automation for cluster operations, training workflows, remediation, and scaling tasks.Implement self-healing patterns and resilient recovery workflows.Harden CI/CD and release processes to improve deployment safety and velocity.Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.About youIn order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.Essential skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.Strong Kubernetes experience, including operating production clusters.Hands-on experience running production workloads in AWS, GCP, or Azure.Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.Desirable skillsExperience operating GPU-backed environments or large-scale ML infrastructure.Experience running model training or inference pipelines in production (MLOps).Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.Experience as an early or founding SRE hire establishing processes from scratch.Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.This is a full-time role based in our office in London (2 days a week in the office). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Staff ML Performance Engineer, you’ll play a key role in high-impact projects, optimising ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product.You’ll help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.Key responsibilities:Profile and pinpoint bottlenecks across the full inference stack (model graph, compiler/runtime, kernel execution, memory movement) and deliver measurable improvements.Implement and validate optimisations in compilers, runtimes, and/or kernels (e.g. operator fusion, scheduling, quantisation-aware performance, custom kernels).Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.Optimise for multiple targets (e.g. NVIDIA Orin/Thor, Qualcomm) and work with teams to support these in a maintainable wayCollaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the teamAbout youEssentialProven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.DesirableExposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.Python and C++ proficiency.Experience mentoring others and/or driving technical direction in a small, fast-moving team.This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. #LI-HH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a System Integration Engineer, you’ll be at the centre of bringing Wayve’s AI driver to life, leading the integration of hardware and software across internal and partner vehicles. Working closely with Electrical, Mechanical, Systems and Software Engineers, you’ll architect and evaluate new hardware, own system bring-up, and troubleshoot complex multidisciplinary issues from prototype through deployment. You’ll shape integration processes, influence system architecture, and build the tooling and development infrastructure that enable the team to move quickly while maintaining reliability and engineering excellence.Key responsibilities:Integration and bring-up of autonomous systems on internal and partner vehiclesArchitect, prototype and evaluate new hardware systemsSupport fleet troubleshooting and issue resolutionInform and improve system integration processes and workflowBring-up and maintain of development benches and HIL systemsAbout youIn order to set you up for success as a System Integration Engineer at Wayve, we’re looking for the following skills and experience. Essential7+ years experience integrating and developing complex systemsAbility to understand a harness diagram, modifying it to meet new design requirements.Compute and sensing component selection based on system requirementsInvolved in the definition and execution of a full lifecycle for a physical/embodied product - encompassing electrical, mechanical, and software systemsExperience in defining and iterating through HW architecture of an embedded/robotics systemExperience working with supply chain on complex systems, engineering change controlWorking with suppliers and contract manufacturers for design validation and manufacturingMultidisciplinary troubleshooting skills with a strong sense of ownership and initiativeExperience deploying and maintaining a SW product written C++, Python, Rust.Comfortable working in Linux environment, Git and with scripting toolsExcellent communication and collaboration skills across engineering disciplinesDesirableUnderstanding trade-offs on decisions having downstream implications on both HW and SWUnderstanding detailed compute architectures (x86 vs ARM) and tradeoffs in the context of where the automotive market is heading Experience working on autonomous vehicles, robotics, or similar advanced systems Skilled in prototyping electronics at PCB board level, wire harnesses, and custom hardware componentsExperience developing application level software for testing, flashing, and triaging issuesBachelor's degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.Experience in developing automated testing suites for early HW + SW bring-upThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The Role In this pivotal role as a Product Feature Owner, you will take end-to-end responsibility for specific ADAS functionalities, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI. Your focus will be to ensure these features meet customer (OEM) requirements, align with internal capabilities and roadmaps, and are delivered to spec. You will collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards. Your dedication to aligning customer needs with our strategic vision will directly enhance our vehicles’ capabilities and user experience.Key responsibilities:Feature Oversight and Delivery: Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications. Monitor the feature’s lifecycle from concept to production, addressing any deviations promptly.Technical Collaboration and Hands-on Engagement: Collaborate with feature group owners and engineering teams to create feature specifications. Engage actively with the teams throughout feature development, providing early feedback, participating in testing, and supporting validation processes.Customer Advocacy and Alignment: Deeply understand OEM customer needs and requirements, representing their interests internally without compromising Wayve’s objectives. Harmonise OEM requests across different customers to maximise the development of reusable assets and ensure scalability.Cross-functional Communication and Coordination: Serve as the central liaison between OEMs, product teams, and engineering teams for your feature(s). Facilitate streamlined communication and reduce misunderstandings. Participate in agile processes and rituals.Risk Mitigation and Strategic Alignment: Proactively identify and address potential issues before they escalate. Maintain and evolve the strategic feature roadmap as our technology progresses towards higher autonomy levels, ensuring alignment with both customer expectations and Wayve’s strategic objectives.About youIn order to set you up for success as a Product Feature Owner at Wayve, we’re looking for the following skills and experience. Essential Experience with ADAS Feature Development: Expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross & Front Cross Traffic Alert, Pre-Safe, Door Open Warning, Perception for HMI, etc.Automotive Background: Experience with automotive processes, including requirements management, V-model, ASPICE, quality, and validation.Customer Advocacy and Communication Skills: Strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams.Technical Competence and Hands-on Approach: Technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and actively involved in testing, evaluation, and validation processes.Desirable Experience Shipping ADAS Features into Production: Demonstrated success in delivering complete ADAS features into large-scale production automotive programs.Knowledge of Automotive Quality and Safety Standards: Good understanding of automotive quality and safety standards (ASPICE, SOTIF, FuSa, …) as well as the compliance regime around them (GSR-II, DCAS, …)Experience with machine learning, LLMs and recent generative AI methods and architecturesStrong Collaboration Skills: Ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders.Innovative and Forward-thinking: A proactive approach to exploring and developing new ADAS features, keeping Wayve at the forefront of technological advancement in the industry.This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-KM1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We are looking for an experienced Solution Architect to support the integration of Wayve’s autonomous driving technology with automotive OEM vehicle platforms. In this role, you will work at the boundary between Wayve’s core AI Driver architecture and OEM / Tier 1 vehicle systems. You will help define how Wayve software interfaces with vehicle platforms, including sensors, vehicle signals, middleware, ECU constraints, timing, diagnostics, safety assumptions, data logging, and validation. The ideal candidate can translate product and customer needs into clear technical specifications, understand both high-level system architecture and implementation details, and help ensure that Wayve’s solution integrates safely, efficiently, and consistently across customer programs. You will be expected to work independently within your scope, handle ambiguous technical problems, identify dependencies and risks, and keep stakeholders aligned.Key responsibilities:Define and manage the technical architecture for customer vehicle integration, focusing on the interface between Wayve software and OEM / Tier 1 vehicle systems.Collaborate with Product Management to translate product requirements and customer program needs into actionable technical specifications.Define and document integration boundaries with OEMs and Tier 1 suppliers, including what is Wayve-owned, partner-owned, jointly defined, or out of scope.Translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions.Work closely with Software Architects to assess technical feasibility and ensure customer program integration needs are aligned with Wayve’s core architecture.Coordinate with Validation Engineers to define integration test requirements and ensure customer program requirements are verifiable.Develop and maintain program-facing technical documentation, including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records.Support customer program planning by identifying integration complexity, dependencies, technical gaps, technical risks, and required partner deliverables.Participate in OEM and Tier 1 technical discussions, representing Wayve’s product architecture, integration approach, and technical assumptions.Act as a technical bridge between customer programs and Wayve internal teams, ensuring customer-specific integration needs are clearly understood without unnecessarily fragmenting the core product architecture.About you In order to set you up for success as a Solution Architect at Wayve, we’re looking for the following skills and experience. Essential System & SW architecture expertise: Experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software–vehicle interface.Product Boundary definition: Ability to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems.Vehicle and embedded software understanding: Good understanding of vehicle electronics, embedded software constraints, ECU integration, real-time execution, timing, diagnostics, and production vehicle software environments.Automotive communication and E/E architecture: Knowledge of automotive communication protocols and architectures, such as CAN, FlexRay, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent.OEM integration experience: Experience working with, or integrating systems for, automotive OEMs or Tier 1 suppliers. Ability to support discussions on OEM-specific requirements, standards, and integration constraints.Requirements and specification quality: Ability to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation-ready requirements.Cross-functional multidisciplinary experience: Proven ability to work effectively across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer-facing teams, including Field Application Engineering. Experience should span unit-level, subsystem-level, and system-level discussions, with the ability to align technical decisions across engineering domains and translate customer or product needs into practical architectural solutions.Technical communication: Strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.Desirable Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related fieldExperience working as a Tier 1 supplier in the automotive industryKnowledge of generative AI, LLMs, and transformer architecturesFamiliarity with end-to-end approaches in autonomous drivingExperience with automotive OEM integration projectsHands-on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware.Experience with sensor integration, including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronization.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the TeamAI Portal is the SaaS platform that connects Wayve to the outside world. The AI Portal team acts as the airlock between Wayve and its commercial partners: managing data flows, partner integrations, operational tooling, and web interfaces for internal and external audiences. We are a small, high-ownership team operating like a startup within a scale-up: close to our customers and close to the commercial frontier of autonomous vehicle deployment.We build product, own systems end-to-end, operate what we ship, and work directly with some of the biggest names in the automotive industry to make sure Wayve delivers a world-class technical experience.The RoleThis is a cloud-based software engineering role for a product-minded engineer who enjoys building fast with care, maintaining the solutions they build, and working close to customers.You will work across services, interfaces, infrastructure, and integrations, looking after systems in production. We are looking for engineers who are comfortable moving across the stack to solve customer problems.You will build internal or partner-facing product features, integrate Wayve systems with OEM environments, improve our application quality, and resolve production issues when they arise.This is a build-it, run-it team with a high level of ownership: you will not just write code; you will have shared ownership of the systems we build. You will use metrics and feedback to improve Portal over time to deliver an outstanding customer experience.Key responsibilitiesBuild and operate software products used by Wayve staff and our autonomy partners.Develop services, APIs, integrations, and user interfaces across the Portal platform.Work across microservices, web frontends, cloud infrastructure, and partner-facing systems.Improve the reliability, observability, and operability of the Portal platform.Triage and resolve production issues, whether reported by customers or detected through internal monitoring.Once established, participate in an out-of-hours on-call and support rotation.Solve problems end-to-end: understand the customer need, design the solution, build it, ship it, and keep it running.About youIn order to set you up for success as a Software Engineer (Product, AI Portal) at Wayve, we’re looking for the following skills and experience:EssentialStrong software engineering experience - we use Java, Python, and Typescript React.Experience building and operating production systems, ideally as part of a small team.Experience building multi-tenant platforms or APIs for external users.Experience building tools and processes that make your team fasterExperience with enterprise SaaS, B2B platforms, or customer-facing production systems.Comfort working across the stack including infrastructure, backend services, APIs and frontend development, although the role is backend leaning.Experience with on-call, incident response or support rotation for a production system.Strong communication skills and the ability to work directly with stakeholders.Product-minded: you care about user problems, not just technical implementation.High sense of ownership in ambiguous, fast-changing environmentsMotivated by a startup within a scale-up: small team, big impact, enterprise grade.Desirable Experience working with automotive, mobility, robotics, or autonomy partners.Experience with secure data flows, cross-cloud integrations, or partner environments.This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

GeneralJob Title: Catastrophe Risk Data Automation & Reporting Developer Division: Exposure Management – Underwriting Reports To: As per Beazley’s organisation chartKey Relationships: Exposure Management team, Underwriting teams, Capital Modelling team, Ceded Reinsurance team, Risk Management team, Governance CommitteesJob Summary: This role is within the Exposure Management team dedicated to catastrophe risk management for Beazley’s Cyber Risks and Speciality Risks divisions. The role will enhance the efficiency, accuracy, and scalability of reporting and data processes across the business. The position focuses on modernising reporting pipelines, automating manual workflows, and ensuring the consistent and reliable production of critical management and regulatory information. The postholder will combine technical coding expertise with an understanding of insurance exposure data to deliver robust, long‑term solutions.Key Responsibilities:Reporting, Data Automation & Solution Development: Work alongside Exposure Management Analysts to update, streamline, and optimise reporting processes using modern coding practices, tooling, and programming languages.Design, build, automate, and maintain the production of Management Information (MI), ensuring outputs are accurate, timely, repeatable, and scalable.Develop automated data transformation routines, dashboards, and reporting feeds using tools such as SQL, R, Power BI, or Python (if applicable).Build solutions for how Exposure Management data is presented, consumed, and integrated with other functions (e.g., pricing tools, underwriting systems, capital modelling).Create reusable code modules, templates, and documentation to support consistent development standards across the team.Process Improvement & Regulatory Reporting: Review and enhance internal processes for regulatory submissions, including (but not limited to) Lloyd’s Realistic Disaster Scenarios (RDS) and Lloyd’s RDS/RDL returns.Identify opportunities for automation, data quality improvement, and improved auditability within regulatory reporting.Ensure processes align with good practices in accuracy, validation, and governance.Train colleagues on processes and contribute to the upskilling of Exposure Management colleagues in data automation and reporting. Cross‑Functional Collaboration:Work collaboratively with underwriting support functions (claims, risk, data management) to source, validate, and integrate data where required.Partner with IT on system upgrades, technology migrations, process redesigns, and testing to ensure seamless adoption of new Exposure Management systems.Collaborate with Beazley IT Architecture to design and implement long‑term, scalable technical solutions for reporting, data storage, and process automation.Support central Exposure Management on ad-hoc analytical projects, process reviews, and data investigations.Quality, Governance & Continuous Improvement: Contribute to building strong data governance practices and improving data quality across Exposure Management.Develop monitoring and validation checks within automated processes to maintain accuracy and consistency.Ensure technical solutions are well-documented, tested, and maintainable for future use.General:It is important that within all your interactions both internally and externally you adhere Beazley’s core values - Being Bold, Striving for Better, and Doing the Right Thing as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to:Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct.Undertake training on Beazley policies and procedures as delivered by your line manager, the People & Sustainability or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.Display business ethics that uphold the interests of all our customers.Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs.Comply with any specific responsibilities necessary for your role as outlined by your line manager, the People & Sustainability or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley’s underwriting control standards, Beazley’s claims control standards, other Beazley standards and customer relationship management.Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups.Personal Specification:Education and QualificationsEducated to A‑Level or equivalent.Degree in a relevant discipline preferred but not essential.Actuarial background is advantageous but not required.Skills and AbilitiesStrong numerical ability with excellent attention to detail and accuracy.Effective verbal and written communication skills, able to explain technical concepts to non‑technical audiences.Strong time‑management skills with the ability to manage competing priorities.Ability to work independently as well as collaboratively in a team environment.Problem-solving mindset with the ability to analyse issues and develop practical solutions.Knowledge and ExperiencePrevious insurance experience, ideally within exposure management, analytics desirable.Strong technical skills, including advanced Excel and experience with Microsoft SQL Server, including database development and SSIS package development and support essentialExperience of at least one other coding/programming experience essential (e.g. VBA, R, Python, Power BI).Experience in process automation, data manipulation, and report production essential.Understanding of catastrophe modelling, exposure data, or Lloyd’s reporting frameworks desirable but not essential.Aptitude and DispositionSelf‑motivated and proactive with a passion for continuous improvement.Flexible and enthusiastic, able to adapt to evolving business needs.Professional, reliable, and committed to delivering high‑quality outputs.CompetenciesAccuracy & attention to detailSelf‑starter mentalityDelivery speed balanced with qualityEffective teamworkStrong organisational and time management skills

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a software engineer for Wayve’s Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve’s simulation platform, which is used to develop and evaluate Wayve’s driving intelligence. Wayve’s approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high-signal simulations.Challenges you will ownOwn key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc.Work cross-company on aligning technical dependencies for simulator implementationLead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platformEffectively integrate machine-learned graphics subsystems into the simulation platformImplement production quality software in PythonAbout youEssential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applicationsExcellent development skills in PythonDeep knowledge of Kubernetes at the user levelGood sense of systems and data oriented software engineering design - what makes code reusable and extensibleUnderstanding of common software performance issues and design tradeoffs5+ years of industry experience designing and programming softwareExcellent communication and people engagement skillsDesirable Experience in the field of autonomous vehicles or roboticsProficiency with other programming languages like go or C++Experience scaling simulations or data intensive workloadsExperience with design, implementation, and optimization of large-scale machine learning inference systems running in cloud GPU environmentsExperience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI)This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-FH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As Director of Engineering you will manage the Product Engineering group within our AI Engineering organisation. You will report to the VP of Autonomy. The role is on the critical path to the financial success of the business. You are responsible for taking AI model backbones and delivering an autonomous vehicle capability roadmap with production-level quality. This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models. The technology will be deployed to multiple OEM partners working with separate Application teams.You are expected to establish solid ML practices from the start and to attract technical leadership. You will lead multiple teams covering Driving, ADAS, Parking, HMI functionality.You will set the technical direction in your area and ensure that deliverables align with company objectives. You will provide leadership and guidance to each of the Engineering Managers that work within your area. You will steer the teams and coordinate with others across Wayve. You will work with leaders across the company to ensure career growth for your teams.This means you will:Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised.Frame autonomous driving as a problem that can be solved by data. Define efficient data curriculums to ensure product feature and geographical coverage.Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency.Partner with the senior leadership team to maintain a culture of impact, performance, and health.Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals.Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations.You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.About youIn order to set you up for success as an Engineering Director at Wayve, we’re looking for the following skills and experience. EssentialYou have delivered successful Autonomy products that rely on complex AI models.Management: experience leading complex teams, e.g., multiple management layers or matrixed.Domain skills: experience with autonomy products – autopilot/navigation, active safety, parking.Product delivery skills: roadmap articulation, interface with leadership & business functions.Execution skills: resource allocation, program planning and execution 1-2 years out.Engineering skills: code development practices, testing, serviceability.Education: BS or MS in Computer Science, Engineering, or similar experience.DesirableExperience applying foundation models to implement specific product features.Experience working with multiple automotive OEMs.Experience with GenAI simulation.Experience with cloud platforms, databases, large scale data pipelines.This is a full-time role based in our office in London or Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. The reasonably estimated salary for this role ranges from $440,000 to $580,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Technical Program Manager in Simulation, Evaluation & Validation at Wayve, you'll drive delivery across the platforms and processes that prove the AI Driver is ready for the road - open and closed-loop simulation, the evaluation platform, synthetic data, critical-event pipelines, and behaviour validation. Your programs gate real on-road releases, so your impact is measured in release confidence, signal quality, and developer velocity.Working with engineers and scientists across Autonomy, Science, Release, Product, and Safety, you'll bring structure to a complex, cross-cutting, safety-critical space in a fast-moving environment. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.Key ResponsibilitiesDrive program delivery: Own end-to-end delivery of cross-team programs spanning simulation, evaluation, and validation.Sequence cross-cutting initiatives: Compose roadmaps across simulators, datasets, evaluation, and triage; manage dependencies, risks, and trade-offs, and escalate early with clear options.Tie work to outcomes: Connect platform delivery to measurable outcomes - developer velocity, signal quality, cost per evaluation, time-to-insight, and validation credibility.Coordinate release-gating validation: Partner with Autonomy, Science, Release, Product, and Safety on acceptance criteria and the validation that gates releases.Run delivery rhythms: Run planning, reviews, and retros, and communicate progress and risk to engineers, partners, and senior leaders.Champion continuous improvement: Improve tooling, processes, and ways of working across the platforms.About youIn order to set you up for success as a Technical Program Manager in Evaluation & Validation at Wayve, we're looking for the following skills and experience. (The first three are our must-haves.)EssentialBias for action: 8+ years leading complex, multi-team programs (or a strong record at this level). You lead high-complexity work across teams and get things done.Technically strong: Credible with engineers and scientists across simulation, evaluation, ML, and validation; you reason about how data, simulator fidelity, and metric design propagate into release confidence, even though you won't write production code.Stays neutral and adapts under pressure: Effective in ambiguous, safety-critical environments; you flex your style and bring structure without slowing delivery.Strong project management: Skilled at planning, prioritising, and managing risk and dependencies across teams.Clear communicator & collaborator: You influence without authority across Autonomy, Science, Release, Product, and Safety.Data-driven: Comfortable defining and using metrics - signal quality, coverage, time-to-insight - to steer delivery and decisions.Growth mindset: Open to feedback and always looking to improve.Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.Product-minded: You focus on outcomes and the people your programs serve - prioritizing by impact and defining what good looks like, not just tracking activity.DesirableExperience in autonomous vehicles, robotics, or another safety-critical AI/ML program.Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale.Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems.An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $214,900 to $274,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! SummaryJoin Wayve as a Staff Security Engineer, responsible for advancing the security framework of our internal platform and IT security engineering group, SPINE. This pivotal role focuses on developing enforceable and continuously improving security systems, working collaboratively with the central Security team to ensure our security strategy is effectively implemented across our endpoint, identity, and internal platform estate.ResponsibilitiesLead endpoint and identity security systems across SPINE, ensuring continuous improvement of controls.Deploy and manage security tooling, automation, and infrastructure-as-code solutions for scalability.Identify and remediate systemic security gaps, using data to drive improvements and track security KPIs.Collaborate with the Security team and other stakeholders to align security measures with compliance and policy requirements.Mentor engineers and provide technical leadership in security across the organizationRequired SkillsProficiency in scripting and automation (Python, Bash, PowerShell).Experience with infrastructure-as-code and configuration-as-policy methodologies.Strong Linux systems experience and background in endpoint/device management.Familiarity with identity and access systems, and implementation of device and access controls.Excellent communication skills and the ability to influence technical decisions.Self-directed and proactive problem-solving capabilities, comfortable operating with broad scope and autonomyWayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Staff ML Performance Engineer, you’ll play a key role in high-impact projects, optimising ML inference for edge accelerators and GPUs. The focus of this team is to run large transformer-based models efficiently on low-cost, low-power edge devices to enable Wayve’s first driving product.You’ll help set the technical direction for turning these models into production systems that run reliably on in-vehicle compute. This is a hands-on role working across ML systems, compilers, runtimes, kernels, and embedded deployment, contributing to several early-stage, high-impact projects at Wayve.Key responsibilities:Identify, implement and validate optimisations in ML compilers, runtimes, and kernels (e.g. operator fusion, scheduling, quantisation-aware performance, custom kernels)Profile and pinpoint bottlenecks across the full inference stack (model graph, compiler/runtime, kernel execution, memory movement) and deliver measurable improvements.Build robust benchmarking and regression testing to ensure performance improvements hold across models, devices, and software releases.Develop and optimise for multiple target platforms (e.g. NVIDIA Orin/Thor, Qualcomm), working with cross-functional teams to deliver performant and maintainable solutions.Collaborate with model developers to influence architecture and training/deployment decisions that affect on-device performance.Contribute to technical roadmaps and tooling and help raise the standard of performance engineering across the teamAbout youEssentialProven experience improving performance in production systems with tight constraints (latency, memory, bandwidth, power/thermal, or cost).Strong proficiency with at least one relevant stack/toolchain (e.g. TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX) and confidence learning adjacent frameworks quickly.Comfort operating at multiple levels of abstraction — from high-level model behaviour down to low-level kernel/runtime execution.Strong software engineering fundamentals (debugging, profiling, testing, and maintainable code).Clear communicator and collaborative teammate; able to align multiple stakeholders on performance trade-offs and priorities.DesirableExperience with compute graph scheduling and execution on multiple targetsExposure to embedded or edge deployment of ML models, including benchmarking on real devices and handling system-level constraints.Experience with NVIDIA and/or Qualcomm SoCs and performance tooling.Python and C++ proficiency.Experience mentoring others and/or driving technical direction in a small, fast-moving team.#LI-HH1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! About the TeamPortal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally. The team operates as a startup within a scale-up: with its own infrastructure, codebase, and direct relationships with commercial partners including Uber, Nissan and other OEMs. We move fast, own our decisions, and build systems that matter.The RoleWe're looking for a Staff Data Platform Engineer to own and lead Wayve's Data Transfer Hub project. This is a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world.This is a hands-on technical leadership role driving a new project at Wayve. You'll design and build a globally distributed hub-and-spoke ingestion system, working directly with data partners like Uber and Nissan. Your infrastructure is what makes Wayve's AI model training possible at scale.What You'll DoSet technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability and operational support.Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR and sensor data from global partners at up to PB/day scaleDesign and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructureBuild and operate a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partnersWrite infrastructure-as-code in Terraform; build pipeline logic primarily in PythonDrive cloud-to-cloud and cross-cloud networking solutions (Azure primary; cross-cloud experience beneficial)Work in a fast-changing environment: requirements will evolve; high comfort with ambiguity requiredWhat We're Looking ForProven experience building and operating large-scale data transfer pipelines at multi-TB or PB scaleExperience orchestrating parallelised transfer jobs: Flyte preferred; other workflow orchestration tools (e.g. Airflow, Prefect) will be consideredExperience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting.Strong cloud platform skills (Azure preferred); experience working with multiple cloud providers (AWS/GCP) is a strong advantageProficiency in Python and TerraformCloud-to-cloud and networking experience (e.g. blob/object transfer and storage at scale, cross-cloud data movement)A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirementsComfort working in a fast-changing environment with evolving requirements: this is a startup within a scale-upHigh degree of autonomy and ownership: you take responsibility for outcomes, not just tasksNice to HaveExperience with Kafka for event-driven transfer observabilityMulti-cloud experience across Azure, AWS and/or GCPExperience working directly with external data partnersBackground in autonomous vehicles, robotics or similar data-intensive domainsThis is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. #LI-KM1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?ResponsibilitiesAs a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value.Your primary responsibilities will include:Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable.Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment.Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards.Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance.Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges.AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value.AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness.Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption.Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas.Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders.Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture.Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively.RequirementsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains.Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making.Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable.Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed.Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale.Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value.Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows.Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders.Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering.Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner.A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines.What we offerOnsite Onboarding in our HQ office for an optimal startGreat compensation and benefits packages including company achievement bonus and regular salary reviewsPremiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewerPublic transport friendly officesSpecial terms for local gymsAccess to Corporate Benefits platform with many discountsRegular Team events and company-wide celebrationsOpen door policy, no dress code rules, frequent all Hands and Leadership LunchesHybrid and Flexible work timeWork From Abroad Program allowing up to 40 days of work outside your contracting countryWe celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The roleAs a Technical Program Manager at Wayve, you'll lead complex, cross-functional programs across our engineering org - spanning AI, software, robotics, infrastructure, evaluation, validation, data, and product. You'll turn ambiguity into clear plans and keep multi-team delivery predictable in a fast-moving environment.Working closely with engineering and cross-functional partners, your impact will be measured by your ability to deliver programs, drive efficiency, manage risk, and align execution with business goals. A successful TPM is a force multiplier - helping teams move faster, more effectively, and with purpose.We hire TPMs across several areas - for example robotics, evaluation & validation, AI platform, and data operations - and we'll explore the best fit with you through the process.Key ResponsibilitiesDrive project delivery: Own the project lifecycle and improve delivery outcomes through structured execution and coordination.Boost efficiency: Identify bottlenecks, streamline workflows, and improve tooling and resource allocation to increase throughput.Enable cross-team collaboration: Improve alignment across teams through effective communication, shared goals, and faster decisions.Manage risk proactively: Anticipate issues, develop mitigation plans, and minimise impact on timelines and quality.Keep stakeholders aligned: Engage regularly with internal stakeholders, manage expectations, and deliver on commitments.Align with business goals: Ensure programs directly support Wayve's strategic priorities by making smart scope and resource decisions.Champion continuous improvement: Lead retros, encourage feedback, and implement changes to improve processes, team dynamics, and outcomes.About youWe're looking for the following skills and experience. (The first three are our must-haves.)EssentialBias for action / program delivery: 5+ years leading complex, multi-team software or technology programs in fast-paced or early-stage environments. You get things done.Technically strong: Comfortable working with engineers and reasoning about modern software, ML, and robotics stacks, even if you don't write code.Systems thinking: You reason about how the parts of a complex system fit together, and how a change in one area ripples into others.Stays neutral and adapts under pressure: Effective in high-tension, ambiguous situations; you flex your style to keep people aligned and moving.Strong project management: Skilled at planning, prioritising, managing risk and dependencies, and adapting as things change.Clear communicator: You explain complex ideas simply, surface risk early, listen well, and keep teams aligned.Collaborative leader: You bring people together, influence without authority, and create a positive team culture.Strategic thinking & problem-solving: You keep the bigger picture in mind, stay calm under pressure, and find creative solutions.Product-minded: You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity.Growth mindset: Open to feedback and always looking to improve.DesirableIdeally 8+ years as a Technical Program Manager.An engineering or computer science degree, or experience working as an engineer; excels in Jira (or similar).Exposure to autonomous vehicles, robotics, ML, simulation / evaluation, or other safety-critical or compute-heavy domains.This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $171,600 to $274,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.LA1Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Would you like to help implement novel approaches to how security engineers learn about the numerous Amazon applications. How about working with customers and peers from the entire range of Amazon's businesses on products that make a real difference in our Amazon Security goals? Whether you're passionate about building highly scalable and reliable systems in the cloud or a software developer who likes to solve interesting and complex business problems, Amazon Security has the challenges you are looking for.Amazon Security is responsible for the protection of customer and corporate data. We are connected to all parts of Amazon's business and its massive, worldwide service-oriented architecture. We are looking for a Software Development Engineers who are excited about leading the technical vision and architecture for innovative, mission critical software security systems that affect how Amazon developers create and deploy software that is secure and protects Amazon's and our customers data.Key job responsibilitiesYou will work with the leadership team to drive key engineering and business decisions that will automate portions of the pentest experience, driving security and builder efficiencies. Your first mission is to work with this new team to understand opportunities, and rapidly define which opportunities to address first, then build and evaluate the solutions. This will require rapid iteration with a variety of software and security teams. Since our security systems are foundational to the Amazon ecosystem, you will also have the opportunity to learn about various Amazon business including the Amazon e-Commerce websites, Prime, Alexa, and AWS.We're looking for a creative, customer- and details-obsessed Software Development Engineer with strong software engineering fundamentals (object-oriented design, algorithms and data structures) and a good grasp of advanced systems concepts and design. You must possess strong verbal and written communication skills, be self-driven and be able to deliver high quality results in a fast-paced environment. You need to enjoy working closely with your peers of very talented engineers.A day in the lifeYou'll solve complex challenges by designing and implementing scalable solutions that protect Amazon's customers and systems. You'll work with security engineering teams to transform domain expertise into software that mitigates risks at unprecedented scale. In a typical day, you might:• Develop code that reduces manual security processes by 50% or more, enabling our teams to respond faster and more effectively• Partner with cross-functional teams to translate intricate security requirements into elegant, high-performance software solutions• Prototype and implement security tools that protect millions of customers and billions in transactionsYou'll work in an environment that values rapid innovation, where your ideas can move from concept to production in weeks, not months. Your work directly impacts Amazon's ability to maintain the highest standards of customer trust and system resilience.About the teamOur team will work with local and international security teams to design a greenfield product that solves the complex problem of rapidly knowing critical security details about every Amazon application. This team of problem solvers is heavily customer obsessed with a leaning toward rapid prototyping and implementation.Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Basic qualifications- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Experience in professional, non-internship software development- Experience as a mentor, tech lead or leading an engineering team- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems- Experience in development in the last 3 yearsPreferred qualification - Bachelor's degree in computer science or equivalent- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operationsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Who are we?Tripledot Studios is one of the largest independent mobile games companies in the world.We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.Our ambition is to be the most successful games company in the world, and we’re just getting started.The role is working within our studio: Tripledot GamesAbout Tripledot GamesTripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.Role OverviewAs a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform. Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio.Your initial focus will include hands-on quality assurance: running independent analyses, comparing results with platform outputs, investigating discrepancies, and validating features and metrics. This offers the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business.Key ResponsibilitiesDefine statistical logic, calculation methods, and detailed requirements for experimentation platform features.Prototype statistical methodologies and analyses in Python before implementation.Partner closely with Data Engineers as they develop and improve the experimentation platform.Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs.Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable.Explore opportunities to automate QA processes and improve the efficiency and quality of validation.Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis.Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions.Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve.Skills, Knowledge and Expertise3-5 years of professional experience as a Data Scientist or in a closely related roleStrong Python skills, including the ability to prototype analyses and write clear, reliable scripts.Solid knowledge of statistics and standard statistical methodologies.Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated.Familiarity with machine learning methods and the ability to apply relevant approaches when needed.Excellent attention to detail and a disciplined approach to repetitive or methodical QA work.Strong problem-solving skills, with the initiative to propose creative solutions and process improvements.Clear communication skills and the ability to explain analytical methods, results, and rationale.Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable.Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility.Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor.Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows.Working at Tripledot25 days paid holiday in addition to bank holidays to relax and refresh throughout the yearHybrid Working20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.Daily Free Lunch: when in the office you get 12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]Life Assurance & Group Income Cover: Financial protection for you and your loved ones.Continuous Professional Development: Propel your career with continuous opportunities for professional development.Private Medical Cover& Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme.Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

placeEC2M 4YJ London calendar_today 25.06.2026 business TeamViewer GmbH TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? As a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value. Your primary responsibilities will include: Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable. Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards. Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance. Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges. AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value. AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness. Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption. Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas. Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders. Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture. Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains. Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making. Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable. Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale. Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value. Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows. Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders. Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering. Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines. Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. #J-18808-Ljbffr

placeEC2M 4YJ London calendar_today 25.06.2026 business TeamViewer GmbH TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? As a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value. Your primary responsibilities will include: Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable. Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards. Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance. Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges. AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value. AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness. Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption. Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas. Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders. Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture. Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains. Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making. Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable. Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale. Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value. Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows. Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders. Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering. Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines. Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. #J-18808-Ljbffr

placeEC2M 4YJ London calendar_today 25.06.2026 business TeamViewer GmbH TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? As a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value. Your primary responsibilities will include: Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable. Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards. Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance. Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges. AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value. AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness. Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption. Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas. Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders. Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture. Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains. Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making. Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable. Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale. Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value. Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows. Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders. Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering. Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines. Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. #J-18808-Ljbffr

placeEC2M 4YJ London calendar_today 25.06.2026 business TeamViewer GmbH TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? As a Senior Software Architect at TeamViewer, you will shape the architectural direction of scalable, secure, and high-performing software solutions that support our strategic goals. This is a hands-on architecture role requiring strong engineering judgement, technical credibility, and the ability to guide teams through complex design and delivery challenges. You will work closely with engineering, product, and operations teams to make pragmatic architectural decisions, improve system quality, and support long-term maintainability. You will also bring an AI-aware and forward-looking mindset, recognizing where modern AI capabilities, automation, and agentic workflows can improve product capability, developer productivity, operational efficiency, and customer value. Your primary responsibilities will include: Hands-On Architecture: Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective, and maintainable. Implementation Support: Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architectural Strategy: Define and evolve software architecture strategies that align with business goals, product direction, and engineering standards. Concept and Design Reviews: Conduct detailed reviews of architectural concepts, providing feedback and suggestions to enhance design quality and system performance. Technical Guidance: Lead technical discussions, mentor senior engineers and architects, and provide practical advice on complex technical challenges. AI-Aware Architecture and Engineering: Apply strong architectural judgement while recognising where AI, automation, agents, and intelligent workflows can pragmatically improve product capability, developer productivity, operational efficiency, and customer value. AI-Enabled Developer Productivity: Use and promote AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools to improve development workflows, code quality, refactoring, testing, and team effectiveness. Practical AI Engineering Awareness: Stay current with relevant AI engineering practices, including concepts such as context windows, custom instructions, agentic workflows, tool use, prompt strategies, model selection, and safe enterprise adoption. Cross-Functional Collaboration: Work closely with engineering, product, operations, and support teams to ensure architectural alignment and successful delivery across relevant product and platform areas. Documentation: Create and maintain comprehensive architectural documentation that is clear, concise, and accessible to all relevant stakeholders. Continuous Learning: Stay updated on industry trends and emerging technologies, applying this knowledge to enhance our software architecture. Risk Management: Identify and document potential risks in the architecture, providing strategies to mitigate them effectively. Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. 10+ years of software engineering experience, including significant experience designing and evolving complex software architectures across multiple domains. Proven ability to deliver hands-on, real-world solutions, actively supporting implementation, troubleshooting, and technical decision-making. Strong understanding of designing enterprise-grade systems that are scalable, secure, cost-conscious, and maintainable. Strong expertise in at least one modern back-end programming language, such as C#, Java, or C++, with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including SQL and NoSQL databases, data modelling, performance considerations, and operational behaviour at scale. Practical awareness of how modern AI capabilities can be applied in software engineering and product architecture, while remaining anchored in maintainability, security, scalability, and business value. Regular hands-on use of AI-assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or comparable tools, with an understanding of how to use them effectively in real engineering workflows. Strong communication skills, with the ability to explain complex architectural concepts clearly to both technical and non-technical stakeholders. Strong understanding of distributed systems, multi-platform development, non-functional requirements, and requirements engineering. Ability to document complex technical systems and concepts in a structured, accessible, and standardized manner. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines. Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Premiums for the private pension plan (BAV) up to the maximum amount are topped up by TeamViewer Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you. #J-18808-Ljbffr

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The RoleWe’re looking for Research Scientists to join Wayve Labs and help build the next generation of AI systems for autonomous driving. You’ll work at the intersection of machine learning, simulation, robotics, and real-world deployment, contributing to core innovations that push the boundaries of embodied AI.Situated within Wayve, we are a high-conviction research team with the strategic patience and backing to prioritise multi-year breakthroughs over incremental gains. We are looking for highly motivated individuals with expertise and passion to push the frontier of embodied AI, including (but not limited to) the following areas:World & Reward Modeling: Building realistic, diverse simulators that can predict the consequences and costs of actions.Representation Learning & Spatial Intelligence: Advancing how machines truly understand and navigate dynamic, unstructured 3D environments, from detailed spatial understanding, to efficient long term memory.Scalable Decision-Making Systems: Designing architectures, reasoning systems, and policy learning algorithms that operate over long contexts, and scale with data and compute.Cross-Embodiment and Multimodal Learning: Advance embodied learning systems that can flexibly adapt to diverse robotic platforms and multimodal inputs, using vision, language, and active sensors. Key ResponsibilitiesDevelop World Models and Planners (e.g., diffusion-based, autoregressive, or hybrid approaches) for realistic and consistent simulationAdvance Reinforcement Learning and Reward Modeling, building scalable and safe learning frameworks across real and synthetic dataDevelop Geometric Foundation Modelsfor 3D spatial understanding in dynamic, real-world environments.Enable Cross-Embodiment Robotics, leveraging the power of multimodal foundation models to accelerate robotic learning on diverse platforms.Conduct empirical research on Scaling laws, Generalisation, and Sim-to-real transferDefine and evolve Evaluation Frameworks and Benchmarks for long-horizon prediction, scene fidelity, and driving performanceWhat You’ll BringMust-haves:3+ years of experience developing and deploying ML systems in real-world or production settingsPhD, Master’s degree, or equivalent experience in Machine Learning, Computer Vision, Robotics, or a related fieldDeep expertise in one or more core Embodied AI areas, such as:Foundation models (e.g., transformers, MoE, large-scale training)Generative world modeling (e.g., diffusion, autoregressive, hybrid approaches)Reinforcement learning (e.g., offline RL, RLHF, reward modeling)Spatial AI (e.g., SLAM/SfM, depth estimation, multi-view geometry with multimodal sensors)Track record of publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL)Strong programming skills in Python, with experience using frameworks such as PyTorchA data-centric mindset, with experience working on large-scale datasets and evaluationStrong problem-solving ability and the ability to collaborate effectively in interdisciplinary teamsNice-to-haves:Experience in autonomous driving, robotics, or simulation systemsFamiliarity with large-scale training (e.g., FSDP, DeepSpeed, JAX)Experience with sim-to-real transfer or data-efficient learningContributions to open-source ML tools or research infrastructureWhat we offer you Attractive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle the biggest challenge of our time Bespoke learning and development opportunities Relocation support with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your time Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more!This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to WorkDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Lead Product Designer – UI & Design SystemsLocation: London (Hybrid) | Practice Area: Product & Experience | Type: PermanentDesign with clarity. Create with purpose. Build experiences that scale.The RoleCapco is a global technology and business consultancy focused on the financial services and energy sectors. Our Product & Experience team translates strategy into intuitive digital products and engaging customer experiences that transform businesses and impact millions of users worldwide.As a Lead Product Designer specialising in UI and Design Systems, you'll create exceptional digital experiences while building scalable design foundations that enable consistency across products, platforms, and teams.You'll embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance design quality and accelerate delivery while applying sound professional judgement.Working across multidisciplinary teams, you'll establish and evolve enterprise design systems, strengthen collaboration between design and engineering, and help clients deliver accessible, user-centred digital products at scale.What You'll DoCraft exceptional interfaces across responsive web, mobile, and enterprise products.Translate user journeys, wireframes, and product requirements into high-quality visual and interaction designs,using approved AI-enabled design tools where appropriate to support ideation and productivity.Create, evolve, and scale enterprise design systems, including reusable components, design tokens, patterns, and documentation.Partner with UX designers, researchers, product managers, and engineers to deliver consistent, scalable experiences from concept through implementation.Present design decisions to stakeholders, facilitate workshops, mentor designers, and champion design excellence.What We're Looking ForA strong portfolio demonstrating exceptional UI, visual, and interaction design across complex digital products.Expertise in typography, layout, responsive design, interaction design, prototyping, accessibility, and enterprise design systems.Advanced proficiency in Figma, inclusive design principles, and developer handover.Excellent stakeholder management, communication, and collaboration skills within multidisciplinary teams.Curiosity to explore emerging AI capabilities and apply them responsibly to improve design outcomes.Bonus Points ForExperience leading enterprise design systems across multiple products or business areas.Knowledge of design system governance, contribution models, adoption, and versioning.Experience collaborating with front-end engineers using Storybook, React, HTML, CSS, or coded component libraries.Experience designing complex, data-rich, or regulated digital products within financial services.Knowledge of motion design, data visualisation, AI-enabled design tools, or advanced prototyping.Why Join CapcoDeliver high-impact technology solutions for Tier 1 financial institutions.Work in a collaborative, flat, and entrepreneurial consulting culture.Access continuous learning, training, and industry certifications.Be part of a team shaping the future of digital financial services.Help shape the future of digital transformation across Financial Services & Energy.BenefitsWe offer a competitive, people-first benefits package designed to support every aspect of your life:Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.Family Care: Eight complimentary backup care sessions for emergency childcare or elder care.Holiday Flexibility: Five weeks of annual leave with the option to buy or sell holiday days based on your needs.Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick- workshops, certifications, e-learning- your growth, your way. Business Coach assigned from Day One to accelerate your development.Healthcare Access: Convenient online GP services.Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.Inclusion at CapcoWe're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know- we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our#BeYourselfAtWork culture encourages individuality and collaboration, shaping how we work with clients and each other every day.

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