Physical AI Engineer (Model)
Core
Developing next-generation end-to-end trajectory generation and decision-making models for safe and efficient autonomous driving in complex environments.
Role type
Senior IC Physical AI Engineer (Model)
Builds
Scalable physical AI systems for autonomous driving and robotics
Domain
Autonomous Driving / Robotics
Deliverable
production ML models
Required skills
Python, PyTorch, JAX, Model-Based Reinforcement Learning, Imitation Learning, Motion Planning, Filtering (Kalman, Particle), Navigation algorithms, CUDA optimization, Simulation validation
Preferred skills
C++, TensorRT, End-to-End Trajectory Generation, Generative AI Motion Planning, RL/IL dataset construction, Large-scale AI training systems
Technologies
PyTorch, JAX, CUDA, TensorRT, Kalman Filter, Particle Filter
Responsibilities
Develop and optimize MBRL and IL algorithms; Integrate and validate motion planning and navigation algorithms; Support on-device real-time performance optimization; Validate AI models in simulation and real-world vehicle environments; Collaborate with perception, planning, and control teams.
Seniority
Senior, hands-on IC