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
- Robust Python and C/C++ software development experience

Apply principal-level expertise in Physical AI, robotic modeling, learning, and hardware co-design to Renesas innovation.

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