Teams at DiDi

Lead safety strategy and deployment readiness for unmanned autonomous driving systems. Define release criteria, safety requirements, system architecture, and V&V plans. Develop safety evaluation methodologies, metrics, and incident review processes. Collaborate with software, product, operations, and safety teams to enable safe, scalable commercial unmanned operations.

Develop and implement core motion planning and decision-making systems for autonomous vehicles, including geometry and velocity planning, trajectory optimization, scenario modeling, cost design for trajectory ranking, system analysis and debugging, and cross-team collaboration with Perception, Prediction, and Control.

Design and implement motion and behavioral planning algorithms for autonomous vehicles, integrating geometry and velocity planning, modeling multi-agent interactions, formulating cost/optimization frameworks, and testing systems in simulation and real-world data while collaborating with Perception, Prediction, and Control teams.