Motion Planning Engineer

About the Company

DiDi's autonomous driving unit was established in 2016 with the mission of developing Level 4 autonomous driving (AD) technology to make transportation safer and more efficient. DiDi Autonomous Driving is dedicated to advanced AD R&D, product application, and business expansion.

Responsibilities

• Implement novel solutions for Behavioral Planning, enabling high-level decision-making for lane changes, merges, yields, and multi-agent interactions
• Design and optimize motion planning algorithms that integrate geometry-based path reasoning and context-aware speed reasoning into smooth, safe trajectories
• Develop and improve core geometry and velocity planning systems to ensure feasibility, compliance, and comfort across diverse driving scenarios
• Model complex driving environments and agent behaviors to create a robust world representation for planning under uncertainty
• Formulate cost functions and optimization frameworks that balance safety, comfort, and efficiency in trajectory selection
• Analyze, test, and debug system performance through simulation and real-world data
• Collaborate with researchers and engineers across Perception, Prediction, and Control to ensure an integrated, reliable autonomy stack

Requirements

• Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field
• Research or internship experience in motion planning algorithms, behavioral planning, trajectory optimization, or multi-agent interaction modeling
• Proven research ability demonstrated by publications in top-tier conferences (e.g., RSS, ICRA, IROS, CVPR, NeurIPS, CoRL)
• Hands-on experience in C++ for implementing complex, real-time algorithms
• Excellent analytical and communication skills