Principal Engineer Physical AI Systems Modeling
Renesas Electronics10 hours ago
Ottawa, CanadaStaff+
Responsibilities
- Define long-term Physical AI research direction and system architecture for humanoid and industrial robotics.
- Lead foundation model training and fine-tuning, vision-language-action model development, reinforcement learning, and generative modeling.
- Architect and maintain virtual system world models covering articulated robots, sensors, dynamics, contact interactions, and environments.
- Own Physical AI data curation pipelines for simulation, synthetic data, real-world collection, teleoperation, multimodal synchronization, quality checks, versioning, and reproducible experimentation.
- Lead imitation learning, reinforcement learning, domain randomization, sim-to-real, and real-to-sim workflows.
- Translate research into hardware implementations through algorithm–hardware co-design and validate system-level performance.
- Mentor engineers and researchers across multiple technical domains.
Requirements
- Ph.D. in Robotics, Engineering Science, Computer Science, Electrical Engineering, Computer Engineering, Mechanical Engineering, or a closely related field.
- At least 8 years of related research and engineering experience.
- Expertise in foundation model training and fine-tuning, vision-language-action models, reinforcement learning, generative models, and world models for Physical AI.
- Strong mathematics, physics, software engineering, robotics algorithm, and system modeling background.
- Hands-on experience with NVIDIA Isaac Sim, MuJoCo, or similar physics-based simulation platforms.
- Experience with robotics kinematics, dynamics, perception, planning, control, grasping, manipulation, trajectory generation, and contact-rich interaction.
- Experience designing Physical AI data curation pipelines and sim-to-real and real-to-sim workflows.
- Experience translating research into hardware implementations, including algorithm–hardware co-design.
- Experience in digital ASIC design and verification and collaboration across research, system architecture, RTL design, and verification.
- Strong Python and C/C++ development experience in CPU- and GPU-based environments, with version control, testing, and reproducible experimentation.
- Publications in reputable robotics conferences and journals.
- Knowledge of neuromorphic and in-memory computing, foundation model development for hardware generation, and specification formats such as schematics and RTL is advantageous.
Benefits
- Regular permanent employment.
- Remote work is not available.
- Competitive benefits package; further details are provided during the hiring process.
Categories
ML EngineeringRobotics
About Renesas Electronics
Renesas Electronics designs and sells microcontrollers, analog and power ICs, and connectivity solutions for automotive, industrial, infrastructure and IoT manufacturers. Its portfolio spans embedded processing, power management and ADAS-ready components, sold directly and through channels to OEMs and Tier-1 suppliers, with software and development tools to integrate them. Founded in 2010 and headquartered in Tokyo, it is a public company on the Tokyo Stock Exchange and has expanded through acquisitions including Intersil and Dialog Semiconductor.