Lead Physical AI systems modeling at Renesas as a Principal Engineer, advancing foundation models, robotics algorithms, and hardware translation. This is a full time, non-remote position.
Within the Pathfinding Studio, you will define research direction for humanoid and industrial robotics. Your work spans foundation model training, vision-language-action models, reinforcement learning, generative models, perception, planning, and control. You will guide multidisciplinary research toward hardware implementations.
Key Responsibilities: Define Physical AI research direction and robotic system architecture
Lead foundation model, VLA, reinforcement, and generative modeling
Architect virtual world models for robotic systems




Own data curation pipelines and reproducible evaluation
Translate research through algorithm–hardware co-design
Requirements: Ph.D. in robotics, engineering, computer science, or related field
Eight years of related research and engineering experience
Expertise in robotics algorithms, system modeling, and Physical AI
Hands-on NVIDIA Isaac Sim or MuJoCo experience
Strong Python and C/C++ software development experience
Apply principal-level expertise in Physical AI, robotic modeling, learning, and hardware co-design to Renesas innovation.

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📌 Principal Physical AI Robotics Engineer (Quebec City)
🏢 Renesas Electronics
📍 Quebec City