{"id":2143074,"url":"https://alion.io/job/renesas-electronics-staff-engineer-software-physical-ai","title":"Staff Engineer, Software – Physical AI","company":{"id":3481,"name":"Renesas Electronics","domain":"renesas.com","url":"https://alion.io/company/renesas-electronics","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":103,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Farmington Hills, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":145000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1256},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Embodied AI","optional":false},{"name":"HPC","optional":false},{"name":"Linux","optional":false},{"name":"OpenCL","optional":false},{"name":"OpenGL","optional":false},{"name":"Physical AI","optional":false},{"name":"ROS2","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Ubuntu","optional":false},{"name":"Agile","optional":true},{"name":"Gazebo","optional":true},{"name":"Isaac Sim","optional":true},{"name":"MuJoCo","optional":true},{"name":"ONNX","optional":true},{"name":"OpenCV","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Vision-Language-Action","optional":true}],"status":"live","first_seen_at":"2026-10-07T13:43:55Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T07:51:24Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Farmington Hills, MI - Hybrid\nThe HPC SoC Business Division is seeking a Staff Engineer, Software - Physical AI to drive customer and ecosystem adoption of Renesas R-Car SoCs for next-generation robotic and Physical AI platforms.\nThis role will provide technical leadership for humanoid robots, autonomous systems, embodied AI, and advanced robotic platforms by combining expertise in embedded systems, heterogeneous computing, AI acceleration, robotics software, and the mathematical foundations of Physical AI. The successful candidate will work directly with customers, ecosystem partners, and internal engineering teams to develop reference platforms, optimize AI workloads, and shape future R-Car products.\nKey Responsibilities\nServe as technical lead for Physical AI, humanoid robotics, autonomous systems, and robotic compute platforms based on Renesas R-Car SoCs.\nCollaborate with robotics and ecosystem partners to develop reference designs, proofs of concept, demonstrations, and reusable customer solutions.\nSupport customer programs from architecture definition through platform bring-up, software integration, debugging, optimization, validation, and production.\nAnalyze and optimize AI and robotics workloads including perception, sensor fusion, localization, mapping (SLAM), planning, navigation, manipulation, control, and AI inference.\nLead system-level debugging across Linux, ROS2, AI runtimes, GPU/NPU accelerators, device drivers, firmware, memory management, IPC, and heterogeneous multicore systems.\nOptimize workload partitioning across CPU, GPU, NPU, DSP, and dedicated accelerators while balancing latency, throughput, memory bandwidth, and power consumption.\nSupport GPU compute technologies including Vulkan, Vulkan Compute, OpenCL, OpenGL ES, and OpenVX.\nDevelop performance models for AI and robotic systems by analyzing compute intensity, memory movement, data locality, accelerator utilization, and end-to-end latency.\nSupport customer RFIs, RFQs, architecture reviews, design reviews, technical workshops, and debug engagements.\nWork with global engineering teams to define future requirements for R-Car SoCs, AI software, tools, and robotic reference platforms.\n Required Qualifications\nBS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or related field.\n5+ years of experience in embedded systems, semiconductor application engineering, robotics, AI, autonomous systems, or high-performance compute platforms.\nStrong C/C++ software development and debugging experience.\nDeep understanding of SoC architecture, memory subsystems, firmware, operating systems, device drivers, middleware, and hardware accelerators.\nExtensive experience with Embedded Linux, Ubuntu, BSPs, bootloaders, Linux kernel, and system-level debugging.\nStrong understanding of heterogeneous compute architectures, DMA, shared memory, IPC, memory hierarchy, cache behavior, and accelerator architectures.\nHands-on experience with GPU architectures and parallel computing.\n Experience with Vulkan, OpenCL, OpenGL ES, Vulkan Compute, OpenVX, or equivalent technologies.\nExperience profiling and optimizing system performance using tracing, logging, and debugging tools.\nLinear Algebra: vectors, matrices, tensors, transformations, projections, eigenvalues/eigenvectors, matrix decompositions, numerical linear algebra.\nGeometry & Robotics Mathematics: coordinate transformations, homogeneous transforms, rotation matrices, quaternions, kinematics, dynamics, trajectory generation.\nOptimization & Estimation: multivariable calculus, probability, statistics, numerical optimization, Kalman filtering, state estimation, nonlinear optimization.\nAI Computing Fundamentals: understanding of how GEMM, convolution, attention, tensor transformations, interpolation, and other mathematical operators map onto CPU/GPU/NPU hardware.\nAbility to analyze computational complexity, memory bandwidth requirements, accelerator utilization, and data movement characteristics of AI and robotics workloads.\nStrong communication, customer-facing, and technical leadership skills\nPreferred Qualifications\nExperience with Renesas R-Car or comparable high-performance SoCs.\nStrong experience with ROS2 and robotics middleware.\nExperience developing humanoid robots, autonomous mobile robots, robotic manipulators, or other Physical AI systems.\nExperience with perception, sensor fusion, localization, SLAM, navigation, planning, and control algorithms.\nExperience with AI frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV.\nExperience optimizing AI models for embedded deployment.\nExperience with robotic simulation environments such as Isaac Sim, Gazebo, MuJoCo, or equivalent.\nExperience with Physical AI, foundation models, reinforcement learning, vision-language-action models, or embodied AI systems.\nExperience integrating sensors including cameras, LiDAR, radar, IMUs, encoders, and force/torque sensors.\nExperience with PowerVR or comparable embedded GPU architectures.\n Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world-leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.\nAt Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.\nWe believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.\nAre you ready to join our team and shape the future with us?\nRenesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.\nRenesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.","description_format":"text","description_chars":6709,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Central African Republic","iso":"CF","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips","Automotive Components","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-09T03:52:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 60 · green card filings: 30","filings_12m":60,"filings_prev_12m":78,"green_card_filings_12m":30,"median_offered_wage_usd":144222,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":4}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":33,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/renesas-electronics-staff-engineer-software-physical-ai","json_url":"https://alion.io/job/renesas-electronics-staff-engineer-software-physical-ai.json","meta":{"generated_at":"2026-10-12T14:28:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22821,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3481},"rest":"https://alion.io/mcp/rest/get_company?id=3481"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frenesas-electronics-staff-engineer-software-physical-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frenesas-electronics-staff-engineer-software-physical-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frenesas-electronics-staff-engineer-software-physical-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/renesas-electronics-staff-engineer-software-physical-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frenesas-electronics-staff-engineer-software-physical-ai"}]}