Senior Staff Engineer, SoC Application Engineering

The High Performance Compute (HPC) SoC Business Division is seeking a Senior Staff Engineer, SoC Application Engineering - Robotics & GPU to provide technical leadership for customer and partner development using the Renesas R-Car SoC family.

This position will play an integral role in the global effort to position Renesas as the premier semiconductor partner for humanoid robot subsystems , winning design-ins at strategic accounts, distribution partners, and mass-market customers through targeted engineering, optimized AI solutions and workflows, and strategic ecosystem partnerships.

A primary focus of this role will be enabling the brain, AI, perception, compute, and control functionality of humanoid and advanced robotic platforms using R-Car SoCs .

The successful candidate will combine strong embedded SoC expertise with hands-on experience in robotics, GPU and heterogeneous compute, AI workloads, system-level debugging, and performance optimization .

• Act as a senior technical lead for R-Car based humanoid robotics, physical AI, autonomous systems, and advanced robotic platforms .
• Lead collaboration with the Physical AI & Humanoid Lab to develop robotic platforms, prototypes, proof-of-concepts, and demonstrations.
• Lead ecosystem partner project execution to develop robotic reference designs and reusable customer solutions.
• Support customer and partner programs from architecture and platform bring-up through software integration, debugging, performance optimization, validation, and production.
• Lead root-cause analysis of complex hardware/software issues across:
  • Linux/Ubuntu
  • ROS2 and robotics middleware
  • GPU and AI accelerators
  • Device drivers and firmware
  • Memory management and SMMU/IOMMU
  • IPC and heterogeneous multicore systems
  • AI runtimes and inference pipelines
  • System performance, latency, and memory bandwidth
• Analyze customer robotic architectures and requirements against R-Car capabilities and identify technical gaps, risks, and recommended solutions.
• Support customer RFI/RFQ activities, architecture reviews, design reviews, and technical debug sessions .
• Develop robotic proof-of-concepts, demonstrations, reference applications, and benchmarks showcasing R-Car SoC capabilities.
• Provide technical expertise in GPU compute and heterogeneous processing , including CPU/GPU/NPU workload partitioning, synchronization, memory movement, and performance optimization.
• Support GPU and compute technologies such as Vulkan, Vulkan Compute, OpenCL, OpenGL ES, and OpenVX .
• Analyze and optimize system performance across CPU, GPU, NPU, DSP, memory, and other hardware accelerators.
• Support robotic workloads including perception, sensor fusion, localization, mapping, motion planning, navigation, manipulation, and AI inference .
• Work with Renesas global engineering teams, customers, and ecosystem partners to define requirements for future R-Car SoCs, AI software, tools, and robotic reference platforms.

• Bachelor's, Master's, or Ph.D. degree in Computer Engineering, Electrical Engineering, Computer Science, Robotics , or a related field.
• 10+ years of experience in embedded systems, semiconductor application engineering, robotics, automotive electronics, or related fields.
• Strong embedded development and debugging experience using C and C++ .
• Deep understanding of embedded SoC architecture, including CPU, GPU, memory, firmware, operating systems, drivers, middleware, and hardware accelerators.
• Strong hands-on experience with embedded Linux and complex system-level debugging.
• Experience with BSPs, bootloaders, Linux kernel, device drivers, firmware, and user-space applications.
• Strong understanding of heterogeneous multicore architectures, memory management, IPC, DMA, shared memory, and hardware accelerators.
• Hands-on knowledge of GPU architecture and GPU compute .
• Experience with one or more of Vulkan, OpenCL, OpenGL ES, Vulkan Compute, or OpenVX .
• Experience with system and GPU performance analysis using tracing, profiling, logging, and debugging tools.
• Familiarity with embedded AI/ML workloads and deployment on heterogeneous SoCs.
• Strong problem-solving, customer-facing, and technical communication skills.

• Experience with Renesas R-Car or comparable high-performance SoCs.
• Strong experience with Ubuntu Linux .
• Hands-on experience with ROS2 , including application development, integration, debugging, and deployment.
• Experience developing or integrating humanoid robots, autonomous mobile robots, robotic manipulators, or other physical AI systems .
• Experience with robotic perception, sensor fusion, localization, mapping, motion planning, navigation, or control.
• Experience with Imagination/PowerVR or comparable embedded GPU architectures .
• Experience with GPU profiling and system performance tools.
• Experience with embedded AI frameworks and runtimes such as PyTorch, Tensor Flow, ONNX, OpenCV, or vendor-specific AI SDKs .
• Exper