上海-自动驾驶端到端决策规划控制算法工程师(J100785)
Core
Design deep learning-based driving behavior decision models (scene understanding, interaction intent, trajectory planning) to solve complex intersection and lane-change scenarios.
Role type
Senior IC autonomous driving decision planning and control algorithm engineer
Builds
End-to-end or hierarchical trajectory planning algorithms for autonomous vehicles
Domain
Autonomous driving, deep learning, reinforcement learning, motion planning
Deliverable
production ML models
Required skills
deep learning, reinforcement learning, control theory, trajectory planning, C++, Python, ROS, simulation tools (CarSim/CarMaker), corner case handling, adversarial training, meta-learning
Preferred skills
publications in top conferences (ICRA, IROS, CoRL, NeurIPS), large system development experience
Responsibilities
Design decision models for scene understanding and interaction; research socially-compatible planning; develop trajectory generation algorithms; explore real-time planning under uncertainty; build driver behavior prediction models for long-tail scenarios
Seniority
Senior, hands-on IC