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Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Electrical Systems Role:As an Electrical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of electrical systems that enable power and communications across the sense and compute packages. Your work will span across power systems, wire harnesses, PCB design, and communications networks with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on electrical systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Electrical System Design • Power Architecture: Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes., • Wire Harness Design: Design and document robust wire harnesses for power and data lines, including shielding, strain relief, and standard connectors., • PCB Design: Create PCBs for power distribution, protocol bridging, and embedded control., • Networking & Communication: Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, WiFi, 5G)., • Budgets & Tolerances: Maintain system-level power and bandwidth budgets. Ensure electrical tolerance to noise, EMI, and vibration. 2. Electrical System Implementation, • CAD & Schematics: Create PCB schematics, harness diagrams, pinouts, and complete PCB BOMs using tools like KiCAD or Altium., • Calculations: Conduct electrical calculations including current draw, peak power, signal integrity, and fault analysis., • Design for Field Conditions: Engineer for EMI/EMC robustness, thermal resilience, and fault isolation under field operating conditions., • Testing: Conduct power validation (noise, load, transients), communication tests (bandwidth, latency), and EMI evaluation., • Integration: Collaborate with sensor, compute, and mechanical teams to ensure end-to-end system compatibility and robustness., • Documentation & Budgets: Maintain PCB schematics and systems level wiring diagrams. Manage system-level power and data bandwidth budgets. 3. Electrical System Production & Servicing, • Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA checks for incoming units., • Debug: Investigate system faults using logs, oscilloscopes, analyzers, and power monitors., • Support: Provide hands-on support during integration, deployment, and servicing in the field. What You Have, • Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • Power Systems: Experience designing and testing low-voltage regulated power systems., • Harnessing: Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems., • PCB Design: Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools., • Communication Protocols: Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies., • Testing & Debugging: Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups., • Documentation: Ability to produce detailed electrical documentation for design, manufacturing, and servicing., • Systems Thinking: Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems., • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems. What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across electrical, mechanical, and software systems., • Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design.Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics. FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You’ll work directly with the Research Operations Partner to scale FAIRI’s in-house data function, and you’ll set the technical and operational bar the rest of the Data Operations Engineering team is built around. What You’ll DoData Tooling & Infrastructure — 25% Build and maintain hardware sensor suites — sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly). Write and maintain QA scripts for in-house and vendor data drops. Build and maintain annotation software and other internal data tooling. Data Collection & Annotation — 25% Run motion capture, teleoperation, and human-subjects data collection sessions yourself — the fastest way to dogfood and stress-test tooling and protocols before handing them to the team. Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI’s evaluation framework. Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation — 25% Manage and schedule data collection interns and contractors; own day-to-day throughput and quality. Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process. Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations. Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues. Technical Demo Support — 25% Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities. Support demo planning and execution, coordinating with the Research Operations Partner Help produce content showcasing FieldAI’s ability to deploy robots on dull, dirty, and dangerous jobs. Troubleshoot hardware and software issues live during demos with important stakeholders. What You Bring You don’t need every skill below, but you should bring real, hands-on depth in several of them: Soldering and cable assembly Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU) Data annotation for robotics or autonomous vehicles QA for hardware and/or software 3D scanning and 3D printing Data collection and human subjects research (IRB/consent familiarity a plus) AR/VR development or production Python, Java, or equivalent scripting LIDAR Robotics (platforms, sensors, or control) Linux command line Blender or Unity Film/TV production Beyond the toolkit: Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off. High ownership: you can take an open-ended ask (“troubleshoot why this data had issues ”) and run with it without much hand-holding. Strong documentation habits: you leave SOPs and processes better than you found them. What Sets You Apart Background in film/TV production, game development, data operations, or another field where wearing every hat is normal Interest in humanoid robotics and how machines learn from human movement Why FAIRI This role sits inside FAIRI’s Research Operations function, supporting the Humanoid Program. It’s built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12–18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up. Why Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.What You Will Get To DoDesign & Build Human-Robot Interaction Systems • Architect and implement dialogue systems that enable natural, multimodal communication between operators and robots., • Develop interaction frameworks that adapt to user expertise levels, environmental context, and task requirements., • Create intuitive mechanisms for operators to understand robot intent, state, and decision-making.Leverage Foundation Models for Intelligent Interaction, • Integrate foundation models into HRI pipelines., • Design systems to improve the efficiency and performance of foundation models on edge., • Evaluate and iterate on model outputs to ensure safe, reliable, and contextually appropriate robot responses.Bridge Research & Deployment, • Translate HRI research insights into practical, field-deployable systems, • Conduct user studies and field experiments to validate interaction designs, • Build robust systems that perform reliably in unstructured, real-world environmentsCollaborate Across Disciplines, • Partner with perception, planning, and autonomy engineers to create cohesive human-robot experiences., • Work with product and UX teams to align interaction designs with user needs., • Collaborate with customers to develop bespoke HRI solutions and see your work deployed in the field.What You Bring, • Bachelor’s degree in Computer Science, Robotics, Human-Computer Interaction, or a related field, or equivalent industry experience, • Hands-on experience developing human-robot interaction systems, including dialogue systems, natural language interfaces, or multimodal interaction, • Proficiency with foundation models and their integration into production software systems, • Strong programming skills in Python and C++, • Solid understanding of HRI principles, including user modeling, explainability, and trust calibration, • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams, • Ability to translate research ideas into practical, field-deployable systems, • Excellent communication skills and a highly collaborative mindsetWhat Will Set You Apart, • Master’s degree in Computer Science, Robotics, Human-Robot Interaction, or a related field, • Experience with robotics middleware for real-time systems, • Publications in top-tier venues such as HRI, CHI, ICRA, RSS, CoRL, ACL, or EMNLP, • Experience with speech recognition, natural language understanding, or dialogue management frameworks, • Familiarity with user study design and evaluation methodologies, • Contributions to open-source robotics or NLP projects, • Personal or academic projects demonstrating creativity in human-robot or human-AI interactionWhy Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Code Metal is looking for a Senior Engineering Manager to lead our Modeling & Simulation organization. This is a role for an engineering leader who can build and run a high-performing 10 to 30 person technical organization. You will lead engineers building scalable simulation, evaluation, data, and decision-support systems used to test complex algorithms, model operational environments, and support high-consequence decisions. The ideal candidate has managed strong software teams before, has a high bar for engineering quality, and knows how to turn ambiguous technical goals into durable systems, clear execution plans, and healthy teams. Experience in simulation, autonomy, robotics, logistics, planning, geospatial systems, or defense is helpful, but the core need is engineering leadership: architecture, execution, quality, hiring, coaching, and operational rigor. This role is equal parts people leadership, technical judgment, and delivery ownership. You will set direction, grow the team, establish engineering standards, and work closely with product, AI, systems, and customer-facing teams to build platforms that scale. • Lead and scale a Modeling & Simulation engineering organization of roughly 10 to 30 engineers across backend, data, simulation, infrastructure, and frontend/platform surfaces., • Set the technical direction for simulation infrastructure, scenario systems, data models, evaluation pipelines, and decision-support workflows., • Create a strong engineering culture around code quality, clear ownership, system design, testing, observability, documentation, and pragmatic execution., • Raise the bar for architecture and implementation quality while keeping the team focused on shipping useful systems., • Help the team make the right long-term technical investments without losing urgency or customer focus., • Convert ambiguous customer, product, and research needs into executable engineering plans., • Own delivery across multiple workstreams, balancing speed, quality, technical debt, and long-term platform leverage., • Build lightweight but effective operating rhythms for planning, reviews, prioritization, incident response, and cross-team coordination., • Partner with product, AI, systems engineering, design, and customer-facing teams to deliver integrated capabilities., • Identify execution risks early and create clarity around tradeoffs, sequencing, and staffing., • Establish and enforce strong software engineering practices across reviews, testing, CI/CD, schema management, migrations, observability, and release hygiene., • Drive better abstractions across simulation services, data pipelines, APIs, persistence layers, and user-facing workflows., • Improve reliability, scalability, and maintainability of systems used for large-scale simulation, evaluation, and analysis., • Ensure the team can reason carefully about domain logic, edge cases, data correctness, and how operational rules map into software., • Build systems that are durable enough for serious users, not just demos., • Manage, mentor, and develop a team of engineers, including senior ICs and potential team leads or managers., • Recruit and close strong engineering talent from high-performing software, autonomy, simulation, data infrastructure, and platform teams., • Build a strong technical bench and create clear growth paths for engineers., • Run effective performance management, feedback, career development, and team health processes., • Create an environment where strong engineers can do their best work without excessive process or ambiguity., • 5+ years of software engineering experience and 3+ years of engineering management experience., • Experience managing teams of 8+ engineers, with a path toward leading a 10 to 30 person organization., • Strong software engineering foundation across backend systems, distributed systems, data systems, infrastructure, or full-stack product/platform development., • Demonstrated ability to set technical direction, make architecture decisions, and guide teams through complex implementation work., • Strong track record building engineering cultures with high standards for code quality, testing, reliability, and maintainability., • Experience partnering across product, design, research, data, systems engineering, or customer-facing teams., • Ability to operate in ambiguous environments and turn loosely defined goals into concrete execution plans., • Strong communication skills with engineers, executives, customers, and cross-functional stakeholders., • Comfort reviewing technical designs, asking good questions, identifying risks, and helping teams make better tradeoffs., • Experience with Python, C++, TypeScript, or similar production languages., • Experience with relational databases such as PostgreSQL, including schema design, constraints, query performance, and migrations., • Strong understanding of APIs, typed contracts, service boundaries, data models, and versioned interfaces., • Experience with data ingestion, transformation, normalization, lineage, or evaluation pipelines., • Familiarity with distributed systems, event-driven architectures, workflow systems, or large-scale compute infrastructure., • Experience building platforms used by other engineers, analysts, operators, researchers, or technical customers., • Experience in simulation, autonomy, robotics, mapping, logistics, planning, geospatial systems, infrastructure, or decision-support platforms., • Experience from companies or teams with strong engineering cultures such as Uber, Waymo, Cruise, Zoox, Aurora, Anduril, Palantir, Stripe, Databricks, Snowflake, SpaceX, Applied Intuition, NVIDIA, or similar., • Experience building simulation or evaluation systems for autonomous vehicles, robotics, operational planning, gaming, digital twins, or large-scale system testing., • Familiarity with PostGIS, geospatial data, event sourcing, provenance, versioned datasets, or replay systems., • Experience with API schema design and typed contracts such as Pydantic, JSON Schema, protobuf, GraphQL, or OpenAPI., • Experience working with government, defense, aerospace, or other high-consequence customers., • Familiarity with SBIRs, OTAs, direct government programs, classified environments, or security-sensitive deployments is helpful but not required. Strong candidates may come from simulation infrastructure, autonomy, robotics, logistics optimization, geospatial platforms, data infrastructure, developer platforms, payments infrastructure, or large-scale product engineering teams. We are especially interested in managers who have led teams building complex systems where correctness, reliability, and operational maturity matter. Relevant backgrounds include Uber marketplace or autonomy-adjacent infrastructure, Waymo or other AV simulation and evaluation teams, Stripe infrastructure or platform teams, Palantir ontology or operational application teams, Databricks or Snowflake data systems, Applied Intuition simulation, Anduril autonomy, robotics companies, mapping platforms, and serious infrastructure teams inside large technology companies.

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI. In this role, you will define and drive research strategy, oversee the development of advanced AI algorithms, and guide programs from early research through real-world deployment on physical robotic systems. You will balance deep technical leadership with people management, ensuring both scientific excellence and real-world impact. This is an opportunity to shape the future of robotic autonomy by translating cutting-edge research into systems that operate reliably in complex, dynamic environments on real robots. What You Will Get To Do • Set Research Vision and Strategy, • Define and execute the robotics AI research roadmap in alignment with FieldAI's mission and product goals., • Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning., • Establish clear technical goals, milestones, and success metrics tied to real-world robot performance., • Lead and Grow Research Teams, • Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers., • Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems., • Own performance management, professional development, and career progression within the team., • Drive End-to-End Research and Deployment, • Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment., • Ensure research outputs translate into robust, scalable, and safe systems on physical robots., • Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis., • Partner Across the Organization, • Collaborate closely with product, engineering, and operations teams to integrate research into production systems., • Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership., • Represent Field AI externally through publications, conferences, collaborations, and recruiting., • Ensure Operational Excellence, • Build and maintain processes for experiment management, evaluation, and reproducibility., • Manage resources, timelines, and priorities to deliver high-quality results efficiently., • Foster a culture of technical excellence, ownership, and rapid iteration. What You Have • PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research., • 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains., • 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development., • Proven ability to lead multiple complex projects in parallel, from early research through real-world validation., • Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots. The Extras That Set You Apart • Experience with large-scale field robotics deployments., • Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems., • Demonstrated success with sim-to-real transfer on legged or humanoid platforms., • Experience deploying AI on embedded or edge systems in resource-constrained environments., • Publications or impactful open-source contributions in robotics or embodied AI. $70,000 - $300,000 a year Why Join Field AI? FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

As we scale, we are looking for a Senior Technical Product Manager to serve as the operational backbone between our quantum physics research team and our multi-disciplinary engineering organization. SpaceX, Anduril, Joby)You have:Personally built requirements governance frameworks, not just operated

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are looking for a Research Engineer to join our growing humanoid manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, testing, and refining manipulation capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into Field AI’s robot learning pipelines. You will also play a key role in advancing robotics foundation models designed to be embodiment agnostic, with an initial focus on humanoid platforms. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments.What You’ll Get To Do • Advance Humanoid Manipulation Research and Development, • Design, implement, and evaluate manipulation strategies for humanoid robots across a wide range of tasks., • Drive projects from early concepts through on-robot testing and deployment., • Contribute to loco-manipulation capabilities that integrate perception, control, and planning., • Build Systems That Bridge Research and Deployment, • Translate research ideas into reliable robotic systems that operate in real-world conditions., • Ensure systems are robust, reproducible, and aligned with data collection and learning objectives., • Develop experimental infrastructure to support rapid iteration and evaluation., • Collaborate Across Disciplines, • Partner with mechanical and electrical engineers on hardware integration and system bring-up., • Work closely with teleoperators and field teams to refine interfaces and improve manipulation performance., • Act as a connective layer between autonomy research and applied robotics engineering., • Rapidly Iterate and Deliver, • Prototype quickly, run experiments on hardware, and validate results in the field., • Balance exploratory research with concrete deliverables that support near-term goals., • Debug complex system-level issues spanning software, hardware, and learning.What You Have, • Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field., • 4+ years of hands-on experience in robotic manipulation in academic or industry settings., • Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation., • Proven experience implementing and evaluating robotic systems on real hardware., • Ability to work effectively in fast-paced, highly collaborative environments., • Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches.The Extras That Set You Apart, • Experience working with humanoid robots or multi-fingered robotic hands., • Background in learning-based manipulation, including imitation learning or reinforcement learning., • Familiarity with teleoperation systems and human-in-the-loop data collection., • Publications or open-source contributions in top robotics venues., • Experience with large-scale robotics data collection and dataset management., • Strong interest in bridging cutting-edge research with field-ready robotic systems.Why Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team.What You’ll Get To Do • Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms., • Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development., • Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations., • Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code., • Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation., • Build repeatable “graduation” pipelines so new capabilities land without breaking existing functionality., • Design and run end-to-end integration tests across hardware and simulation., • Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging., • Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable., • Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints., • Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes)., • Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.What You Bring, • Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience)., • 7+ years hands-on experience developing and integrating robotics software, including work on physical hardware., • Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases., • Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems., • Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments., • Experience hardening research/prototype code into production-quality software with testing and fault handling., • Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities., • Strong work ethic, self-motivated, and excellent written/verbal communication skills.What Will Set You Apart, • Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines., • Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead., • Background in CI/CD, automated testing, and release engineering for robotics software., • Contributions to open-source robotics frameworks or tools., • Experience deploying robots in unstructured, real-world environments (construction, logistics, manufacturing, mining, defense).Why Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team.What You Will Get To Do • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios., • Integrate physics, perception, and comms models so agents behave realistically at fleet scale., • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation., • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity., • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap., • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases., • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time)., • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results., • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.What You Bring, • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience)., • 7+ years hands-on experience building simulation environments for robotics or autonomous systems., • Proficiency in Python and C++; comfort reading and extending large codebases., • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis)., • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management., • Familiarity with standard robotics middleware., • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams., • Ability to translate research into practical, field-deployable systems.What Will Set You Apart, • Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL)., • Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale., • Background in distributed systems or cloud-based simulation orchestration., • Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).Contributions to open-source robotics or simulation frameworks. Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Why Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Embedded Systems Engineer In this role you will develop computing systems for humanoid robots. This may span compute platform design (ARM, SoC, microcontrollers), firmware and BSP bring-up, and kernel-level Linux work. Work will focus on a robot payload that intakes LiDAR, camera, IMU, and tactile sensor information and then outputs joint manipulation and locomotion commands that let the robot stand, move, and use its hands. You will partner closely with the ML team building the robot's software brain, ensuring the compute platform can run their perception and manipulation models with the latency and throughput they need. The system is designed to operate across a diversity of humanoid robot platforms, so your work will generalize across different hardware rather than target a single robot. You will collaborate closely with the mechanical, electrical, and ML teams to build tightly integrated, safety-conscious solutions ready for deployment in the field. What You Will Get To Do 1. Backpack Compute Platform Compute Platform Design: Design and select the embedded compute platforms (ARM, SoC, microcontrollers) that power the humanoid payload, balancing capabilities against SWaP constraints. Firmware & BSP Bring-Up: Write and customize bare-metal and RTOS firmware, board support packages (BSPs), and bootloaders for the humanoid payloads computing hardware. Kernel-Level Development: Work at the Linux kernel level to support real-time performance and reliable operation of the backpack's compute stack. Testing & Diagnostics: Conduct thermal profiling, power draw analysis, and latency measurement, and implement watchdogs and health checks for the compute stack. 1. Sensor & Actuator Drivers Perception & State Sensor Drivers: Adapt, integrate, and where needed develop drivers for cameras, LiDAR, and IMUs that feed the backpack's compute platform with real-time perception and state-estimation data. Motor, Joint & Tactile Drivers: Adapt, integrate, and where needed develop drivers for motors, joint actuators, and tactile sensors, supporting low-latency control and feedback for humanoid manipulation and locomotion. Communication & Timing: Bring up wired (Ethernet, CAN, GMSL, SPI, I2C) and wireless interfaces with deterministic timing (PTP, PPS) across the payload. 1. Manipulation & ML Integration ML Team Partnership: Partner closely with the ML team building the robot's software brain to ensure the compute platform meets their latency, memory, and throughput needs. Manipulation Data Pipeline: Build the data pipeline connecting camera, LiDAR, IMU, and tactile input to joint manipulation commands, from raw sensor capture through to actuator control. Edge ML Enablement: Support accelerated inference on the backpack so ML models can interpret sensor data and issue robot commands in real time. ROS/DDS Middleware: Expose driver and sensor data through ROS/ROS2 and DDS interfaces so the ML team's software brain can consume it in real time. 1. Cross-Platform Generalization & Collaboration Platform Abstraction: Design the backpack's compute and software architecture to generalize across a diversity of humanoid robot platforms. Cross-Team Collaboration: Work closely with mechanical, electrical, and sensor engineers to develop a tightly integrated backpack payload. Technical Leadership: Lead the technical direction of backpack compute development, from architecture decisions through implementation. Safety & E-Stops: Implement e-stop circuitry and safety monitoring on the backpack platform, laying the groundwork for functional safety as the fleet matures. What You Have Education: B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: Minimum of 3+ years of hands-on experience with embedded systems.. We welcome candidates across mid-level to senior and staff levels. Programming: Proficient in C++ and Python for embedded and application-level development. Embedded Systems Experience: Experience bringing up and customizing bare-metal and RTOS firmware, Linux kernel and device drivers, and board support packages (BSPs), across platforms such as Jetson or custom SBCs. Driver Development: Experience developing drivers for cameras, LiDAR, IMUs, tactile sensors, or motors, connecting sensors and actuators to embedded compute. ML/Edge Acceleration: Familiarity with GPU, TPU, or NPU offload and frameworks such as CUDA or TensorRT for edge inference, ideally supporting manipulation or perception models. Real-Time Communication Protocols: Hands-on experience with Ethernet, CAN/CAN-FD, SPI, I2C, UART, USB, or PCIe, wireless links, and timing protocols such as PTP. ROS & Middleware: Familiarity with ROS/ROS2 and DDS for exposing sensor and actuator interfaces to higher-level software. SWaP-Constrained Design: Experience designing compute hardware and firmware under tight size, weight, and power (SWaP) constraints, such as wearable or backpack-style payloads. What Will Set You Apart Humanoid Robotics Experience: Experience developing embedded systems, firmware, or drivers for humanoid or other legged robot platforms. Manipulation & Robot Control Knowledge: Familiarity with joint manipulation, motor control, and how sensor data flows into robot commands such as standing or grasping. Kernel-Level Development: Experience with Linux kernel modules, device driver development, kernel-level debugging, PREEMPT_RT, and deterministic, low-jitter timing in production systems. Safety-Critical Systems: Experience implementing e-stop circuitry, safety monitoring, or other safety-critical embedded systems for robots operating near people. Experience with functional safety standards such as ISO 13849 or ISO 10218 for robots operating in human environments. ML Collaboration: Experience working directly with ML or perception teams to meet model latency, memory, and throughput requirements on embedded hardware. Compensation The salary range for this role is $135,000-$185,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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