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 (Montreal)
🏢 Renesas Electronics
📍 Montreal