自动驾驶决策规划控制算法实习生（J91869）
Core
Design and develop decision-making, planning, and control algorithms for autonomous driving systems.
Role type
Intern, autonomous driving decision/planning/control algorithm engineer
Builds
Autonomous driving software modules for vehicle deployment
Domain
Autonomous driving, robotics
Deliverable
production ML models
Required skills
C++, Python, Linux development, data structures and algorithms, optimization theory, control theory (PID, MPC, LQR), decision algorithms (FSM, MDP, POMDP), trajectory generation (Hybrid A*, EM planner), deep learning frameworks (PyTorch, TensorFlow), deep reinforcement learning, imitation learning
Preferred skills
Autonomous vehicle/drone/robotics project experience, robotics competition awards, publications in top robotics/autonomous driving conferences (CoRL, ICRA, IROS, IV), ACM/ICPC programming competition awards
Responsibilities
Architecture design and development of decision/planning/control modules, maintenance and optimization of existing algorithms, algorithm deployment and performance tracking, system integration and debugging with upstream/downstream modules
Seniority
Intern