Teams at DiDi

Lead safety strategy and deployment readiness for unmanned autonomous driving systems. Define safety frameworks, release policies, system requirements, V&V plans, and metrics. Conduct incident reviews, assess operational workflows and emergency protocols, and collaborate cross-functionally to enable safe, scalable autonomous operations.

Design and develop robotic simulation systems for autonomous driving algorithms and create scalable software for cloud simulation jobs. Collaborate on metrics to evaluate performance.

Design and implement map fusion, real-time vectorized mapping, and motion-planning software for autonomous vehicles. Build scalable C++/Python pipelines, deploy BEV query-based deep learning mapping models (ONNX/TensorRT), develop trajectory generation and optimization, detect map anomalies, and optimize latency and multi-threaded execution for safety-critical systems.