决策规划算法工程师（J93883）
Core
Design deep learning-based driving behavior decision models and trajectory planning algorithms to solve complex interaction problems in autonomous driving.
Role type
Senior IC autonomous driving decision planning algorithm engineer
Builds
End-to-end or hierarchical trajectory planning algorithms for autonomous vehicles
Domain
Autonomous driving, deep reinforcement learning, multi-agent systems
Deliverable
production ML models
Required skills
Deep reinforcement learning (DRL), Imitation Learning, Partially Observable Markov Decision Processes (POMDP), PyTorch, TensorFlow, Python, C++, Linux, Classical decision planning algorithms (A*, RRT*, MPC), Vehicle dynamics modeling
Preferred skills
Multi-agent systems, Game theory, Bayesian Networks, Top-tier conference publications (CoRL, ICRA, IV), Open-source project experience (Apollo, Autoware), Robot path planning (drones, robotic arms)
Responsibilities
Design deep learning models for scene understanding, interaction intent reasoning, and self-vehicle trajectory planning; Research multi-agent reinforcement learning and socially-compliant planning; Develop real-time planning strategies for uncertain environments like sudden obstacles and extreme weather; Improve interaction and generalization capabilities of the planning system
Seniority
Senior, hands-on IC