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, dynamic environments.
Role type
Senior IC Physical AI Engineer (Model)
Builds
Scalable physical AI systems for real-world robotic and mobility actuation
Domain
Autonomous Driving / Robotics / Generative AI
Deliverable
production ML models
Required skills
End-to-end trajectory generation, Model-Based Reinforcement Learning (MBRL), Imitation Learning (IL), Motion Planning, Filtering (Kalman/Particle), Navigation algorithms, CUDA optimization, Deep learning model training, Simulation validation, Real-world hardware validation
Preferred skills
C++ and TensorRT optimization, End-to-end trajectory generation or generative AI-based motion planning projects, RL or large-scale IL dataset construction and pipeline operation, Large-scale AI training and inference system architecture
Technologies
PyTorch, JAX, CUDA, C++, TensorRT, Kalman Filter, Particle Filter
Responsibilities
Develop data preprocessing pipelines, train models, and conduct performance validation for end-to-end trajectory generation and decision-making models; Develop and optimize MBRL and IL algorithms; Integrate and validate motion planning, filtering, and navigation algorithms; Support on-device optimization of deep learning models and planning pipelines using CUDA to achieve real-time performance; Validate AI models and algorithms in simulation and real-world vehicle environments; Collaborate with perception, planning, and control teams to develop next-generation physical AI systems
Seniority
Senior, hands-on IC