[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Renesas Electronics jobs](https://jobs.opennash.com/companies/renesas-electronics/) · [Search jobs](/search/) Renesas Electronics · Farmington Hills, MI # Staff Engineer, Software – Physical AI Farmington Hills, MI, United States Full-time Senior individual contributor Software Engineering Listed on Renesas Electronics’s official careers site. Posted October 7, 2026. Check that it is still open and apply there. [Apply on Renesas Electronics’s careers site →](https://jobs.smartrecruiters.com/RenesasElectronics/744000154109250-staff-engineer-software-physical-ai) [OpenNash Jobs](https://jobs.opennash.com/) / [Renesas Electronics](https://jobs.opennash.com/companies/renesas-electronics/) / Staff Engineer, Software – Physical AI ## Job description Farmington Hills, MI - Hybrid The 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. This 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. ### Key Responsibilities Serve as technical lead for Physical AI, humanoid robotics, autonomous systems, and robotic compute platforms based on Renesas R-Car SoCs. Collaborate with robotics and ecosystem partners to develop reference designs, proofs of concept, demonstrations, and reusable customer solutions. Support customer programs from architecture definition through platform bring-up, software integration, debugging, optimization, validation, and production. Analyze and optimize AI and robotics workloads including perception, sensor fusion, localization, mapping (SLAM), planning, navigation, manipulation, control, and AI inference. Lead system-level debugging across Linux, ROS2, AI runtimes, GPU/NPU accelerators, device drivers, firmware, memory management, IPC, and heterogeneous multicore systems. Optimize workload partitioning across CPU, GPU, NPU, DSP, and dedicated accelerators while balancing latency, throughput, memory bandwidth, and power consumption. Support GPU compute technologies including Vulkan, Vulkan Compute, OpenCL, OpenGL ES, and OpenVX. Develop performance models for AI and robotic systems by analyzing compute intensity, memory movement, data locality, accelerator utilization, and end-to-end latency. Support customer RFIs, RFQs, architecture reviews, design reviews, technical workshops, and debug engagements. Work with global engineering teams to define future requirements for R-Car SoCs, AI software, tools, and robotic reference platforms. ## Qualifications ### Required Qualifications BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or related field. 5+ years of experience in embedded systems, semiconductor application engineering, robotics, AI, autonomous systems, or high-performance compute platforms. Strong C/C++ software development and debugging experience. Deep understanding of SoC architecture, memory subsystems, firmware, operating systems, device drivers, middleware, and hardware accelerators. Extensive experience with Embedded Linux, Ubuntu, BSPs, bootloaders, Linux kernel, and system-level debugging. Strong understanding of heterogeneous compute architectures, DMA, shared memory, IPC, memory hierarchy, cache behavior, and accelerator architectures. Hands-on experience with GPU architectures and parallel computing. Experience with Vulkan, OpenCL, OpenGL ES, Vulkan Compute, OpenVX, or equivalent technologies. Experience profiling and optimizing system performance using tracing, logging, and debugging tools. ### Linear Algebra vectors, matrices, tensors, transformations, projections, eigenvalues/eigenvectors, matrix decompositions, numerical linear algebra. ### Geometry & Robotics Mathematics coordinate transformations, homogeneous transforms, rotation matrices, quaternions, kinematics, dynamics, trajectory generation. ### Optimization & Estimation multivariable calculus, probability, statistics, numerical optimization, Kalman filtering, state estimation, nonlinear optimization. ### AI Computing Fundamentals understanding of how GEMM, convolution, attention, tensor transformations, interpolation, and other mathematical operators map onto CPU/GPU/NPU hardware. Ability to analyze computational complexity, memory bandwidth requirements, accelerator utilization, and data movement characteristics of AI and robotics workloads. Strong communication, customer-facing, and technical leadership skills ### Preferred Qualifications Experience with Renesas R-Car or comparable high-performance SoCs. Strong experience with ROS2 and robotics middleware. Experience developing humanoid robots, autonomous mobile robots, robotic manipulators, or other Physical AI systems. Experience with perception, sensor fusion, localization, SLAM, navigation, planning, and control algorithms. Experience with AI frameworks such as PyTorch, TensorFlow, ONNX, and OpenCV. Experience optimizing AI models for embedded deployment. Experience with robotic simulation environments such as Isaac Sim, Gazebo, MuJoCo, or equivalent. Experience with Physical AI, foundation models, reinforcement learning, vision-language-action models, or embodied AI systems. Experience integrating sensors including cameras, LiDAR, radar, IMUs, encoders, and force/torque sensors. Experience with PowerVR or comparable embedded GPU architectures. ## At a glance - Posted by the employer: Oct 7, 2026 - First seen by OpenNash: Oct 12, 2026 - Last checked: Oct 19, 2026 - Listed for: 12 days - Location: Farmington Hills, MI, United States - Employment type: Full-time[Apply on Renesas Electronics’s careers site →](https://jobs.smartrecruiters.com/RenesasElectronics/744000154109250-staff-engineer-software-physical-ai) ## More jobs at Renesas Electronics ### [Senior Staff Field Applications Engineer - Digital](https://jobs.opennash.com/companies/renesas-electronics/jobs/d0143eee29729d673c76/) Farmington Hills, MI, United States ### [Associate Embedded Software Engineer](https://jobs.opennash.com/companies/renesas-electronics/jobs/84e9afb881ffb08e5ef2/) Athens, Greece ### [Associate Embedded Software Engineer](https://jobs.opennash.com/companies/renesas-electronics/jobs/0ffddcdfdd0bfde333a9/) Kallithea, Athens, Greece ### [Cloud DevOps Engineer (AWS, Terraform, K8S, Automation)](https://jobs.opennash.com/companies/renesas-electronics/jobs/94761f8071ca8dc39575/) Cambridge, England, United Kingdom ### [Equipment Maintenance Technician– Backend (Final Test)](https://jobs.opennash.com/companies/renesas-electronics/jobs/dbcaa6ccf646c0c541e2/) Bayan Lepas, Malaysia ## Similar jobs at other companies ### [Physical Design Engineer- Staff to Sr. Staff](https://jobs.opennash.com/companies/qualcomm/jobs/9f1a0930abf713832f01/) Qualcomm · Austin, Texas, United States of America ### [Physical Design Engineer, Staff](https://jobs.opennash.com/companies/qualcomm/jobs/aa5246179c680c1492e8/) Qualcomm · Austin, Texas, United States of America ### [Staff Software Engineer](https://jobs.opennash.com/companies/cardinal-health/jobs/b6243cd6f09fc50fb446/) Cardinal Health · International ### [Software Engineer Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/d9130252972e507de227/) Lockheed Martin · Littleton, CO ### [Software Engineer Staff - E4](https://jobs.opennash.com/companies/lockheed-martin/jobs/908af81cfa4d89f7ce8a/) Lockheed Martin · Orlando, FL OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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