Staff Software Engineer — Physical AI for Humanoid Robots

Renesas Electronics Corporation

Farmington Hills (MI)

Hybrid

USD 140,000 - 190,000

Full time

12 days ago

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Job summary

Renesas Electronics Corporation in Farmington Hills, MI, is seeking a Staff Engineer, Software – Physical AI, to lead development and adoption of R-Car based platforms for humanoid robotics and embodied AI. The role blends embedded systems, AI acceleration, and robotics software to advance reference designs and customer solutions.

You will collaborate with customers and partners, optimize AI workloads across CPU/GPU/NPU, and direct system-level debugging on Linux, ROS2, and accelerators, shaping

Qualifications

  • BS/MS/PhD in Computer Engineering, Electrical Engineering, CS, Robotics or related field.
  • 5+ years in embedded systems, robotics, AI or HPC platforms.
  • Strong C/C++ software development and debugging experience.
  • Deep understanding of SoC architecture, memory subsystems, firmware and drivers.
  • Embedded Linux, Ubuntu, BSPs, bootloaders, kernel debugging.

Responsibilities

  • Lead Physical AI, humanoid robotics and robotic compute platforms using Renesas R-Car SoCs.
  • Collaborate with ecosystem partners to create reference designs and reusable solutions.
  • Support customer programs from architecture to bring-up and validation.
  • Analyze and optimize AI/robotics workloads across CPU/GPU/NPU and accelerators.
  • Lead system-level debugging across Linux, ROS2, GPUs, drivers and memory systems.
  • Define workload partitioning to balance latency, throughput and power.

Skills

C/C++
Embedded Linux
SoC architecture
Robotics middleware
AI acceleration
ROS2
Performance tuning
GPU/NPU

Education

BS/MS/PhD in related field

Tools

Vulkan/OpenCL/OpenGL ES/OpenVX
GPU architectures

Job description

Renesas Electronics Corporation in Farmington Hills, MI, is seeking a Staff Engineer, Software – Physical AI, to lead development and adoption of R-Car based platforms for humanoid robotics and embodied AI. The role blends embedded systems, AI acceleration, and robotics software to advance reference designs and customer solutions.

You will collaborate with customers and partners, optimize AI workloads across CPU/GPU/NPU, and direct system-level debugging on Linux, ROS2, and accelerators, shaping

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