AI-based Planning & Control for Autonomous Driving_CR
Core
Research and develop AI-based planning and control algorithms for autonomous driving systems to enhance safety, comfort, and robustness.
Role type
Senior IC Machine Learning Engineer (Autonomous Driving Planning & Control)
Builds
AI-driven planning and control architectures (e.g., learning-based control, end-to-end P&C, generative trajectory/control strategies) for autonomous vehicles.
Domain
Autonomous Driving / Robotics / Control Systems
Deliverable
production ML models
Required skills
Model Predictive Control (MPC), LQR, PID, Reinforcement Learning, Imitation Learning, Generative Models, C/C++, Python, Real-time system engineering, Algorithm optimization
Preferred skills
Lattice planning, ST Graph, Dynamic Programming (DP), Quadratic Programming (QP), Nonlinear Programming (NLP), Vehicle dynamics modeling, CARLA simulation, Research publications
Technologies
C/C++, Python, MPC, LQR, PID, CARLA, ST Graph, DP, QP, NLP
Responsibilities
Research adaptive and personalized control strategies combining driving behavior and style; Validate algorithms in simulation environments and prototype systems; Collaborate with product and engineering teams to transition research results to engineering systems and mass production.
Seniority
Senior, hands-on IC
