Teams at DiDi

Lead safety strategy and deployment readiness for Level 4 autonomous driving systems. Define safety requirements, system architectures, release policies, fallback criteria, V&V plans, evaluation metrics, emergency protocols, and operational safety processes. Analyze incidents, improve test coverage and procedures, and collaborate with software, product, operations, and safety teams to support unmanned deployment and commercial scaling.

Develop core decision-making and motion planning systems for Level 4 autonomous vehicles. Responsibilities include behavioral planning, path and velocity generation, trajectory optimization, world modeling, trajectory cost design, testing, debugging, and root-cause analysis. The engineer will collaborate with Prediction, Perception, and Control teams to deliver safe, comfortable, and intelligent vehicle motion in complex environments.

Lead company-wide AI transformation by designing unified distributed AI platforms, integrating LLM ecosystems, and embedding with autonomous driving teams. Build scalable LLMOps and MLOps pipelines, optimize distributed training, inference, GPU utilization, and production latency, and drive adoption of AI-native engineering practices. Provide technical vision, roadmap leadership, and hands-on systems engineering across perception, prediction, planning, control, and simulation teams.