Staff Engineer, Software – Physical AI
Renesas Electronics19 hours ago
Responsibilities
- Lead Physical AI, humanoid robotics, autonomous systems, and robotic compute platform initiatives based on Renesas R-Car SoCs.
- Collaborate with customers, ecosystem partners, and internal engineering teams to develop reference designs, proofs of concept, demonstrations, and reusable solutions.
- Support customer programs from architecture definition through platform bring-up, software integration, debugging, optimization, validation, and production.
- Analyze and optimize perception, sensor fusion, localization, mapping, planning, navigation, manipulation, control, and AI inference workloads.
- Debug systems 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 for 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 and analyze compute intensity, memory movement, data locality, accelerator utilization, and end-to-end latency.
- Support customer RFIs, RFQs, architecture reviews, design reviews, technical workshops, and debugging engagements.
- Help define future requirements for R-Car SoCs, AI software, tools, and robotic reference platforms.
Requirements
- Bachelor's, master's, or PhD degree in Computer Engineering, Electrical Engineering, Computer Science, Robotics, Applied Mathematics, or a related field.
- At least 5 years of experience in embedded systems, semiconductor application engineering, robotics, AI, autonomous systems, or high-performance computing 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, the Linux kernel, and system-level debugging.
- Strong understanding of heterogeneous computing, 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 with tracing, logging, and debugging tools.
- Knowledge of linear algebra, robotics geometry, optimization, estimation, AI computing fundamentals, computational complexity, memory bandwidth, accelerator utilization, and data movement.
- Strong communication, customer-facing, and technical leadership skills.
- Preferred experience includes Renesas R-Car or comparable SoCs, ROS2, robotics middleware, humanoid or autonomous robots, robotic manipulators, Physical AI systems, perception, sensor fusion, localization, SLAM, navigation, planning, control, embedded AI optimization, robotics simulation, foundation models, reinforcement learning, vision-language-action models, embodied AI, sensor integration, and PowerVR or comparable embedded GPU architectures.
- Preferred experience with PyTorch, TensorFlow, ONNX, OpenCV, Isaac Sim, Gazebo, or MuJoCo.
Benefits
- Competitive benefits package offered alongside salary.
- Hybrid work arrangement in Farmington Hills, Michigan.
- Regular permanent employment; remote work is not available.
About Renesas Electronics
Renesas Electronics designs and sells microcontrollers, analog and power ICs, and connectivity solutions for automotive, industrial, infrastructure and IoT manufacturers. Its portfolio spans embedded processing, power management and ADAS-ready components, sold directly and through channels to OEMs and Tier-1 suppliers, with software and development tools to integrate them. Founded in 2010 and headquartered in Tokyo, it is a public company on the Tokyo Stock Exchange and has expanded through acquisitions including Intersil and Dialog Semiconductor.