We’re Hiring: Principal GPU Architect
3 days ago
Cambridge
European Tech Recruit are working closely with a leading fabless semiconductor company, based in Cambourne, who are looking for a talented Principal GPU Architect to join their team. • Build and maintain cycle-accurate / performance / functional models of GPU subsystems (e.g., shader cores, fixed-function units, memory hierarchy, interconnect)., • Use modeling and profiling to explore architectural trade-offs (performance, power, area) and guide microarchitecture decisions., • Analyze workloads (games, graphics benchmarks, GPU compute, AI/ML kernels) using simulation and hardware profiling to identify bottlenecks and optimization opportunities., • Collaborate closely with model, RTL, DV, driver and compiler and performance teams to ensure architectural intent is correctly implemented, verified and tuned., • Provide architectural input to compiler/driver/runtime teams to maximize utilisation of GPU hardware through software optimisations., • Develop methodologies, tools and automation flows for GPU performance estimation, capacity planning and regression analysis., • Lead the debug and root cause analysis of performance, power and bandwidth issues observed in models, emulation and silicon., • Drive cross-team technical discussions, present modelling results and architectural proposals, and influence roadmap decisions for next generation GPUs., • BS, MS or PhD degree or equivalent in Computer Science, Electrical or Computer Engineering or related majors., • 7+ years of industry experience., • Experience in GPU, graphics, high performance compute, AI accelerator, or related architecture/modeling areas., • Strong experience with performance and/or cycle accurate modelling, simulation frameworks, or architectural exploration for complex SoCs or accelerators., • Solid understanding of graphics and compute APIs such as Vulkan, OpenGL, DirectX and/or GPU compute frameworks (e.g., OpenCL, CUDA, Metal)., • Proficiency in at least one modelling or implementation language (e.g., C/C++, SystemC, Python) and familiarity with scripting for data analysis and automation., • Experience with performance analysis tools, profiling methodologies and workload characterization for games, benchmarks and/or GPU compute workloads., • Good written and oral communication skills, with the ability to present complex technical topics clearly and drive consensus across teams., • Experience with mobile/low power GPU design and power/performance trade off analysis., • Background in compiler, driver, or runtime optimisation for GPUs or accelerators., • Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures., • Experience collaborating with silicon implementation, physical design and DV teams on performance and power sign off. By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice (https://eu-recruit.com/about-us/privacy-notice/) #J-18808-Ljbffr