DiDi Labs
Autonomous Driving
SoftwareEngineer–Motion&BehavioralPlanning
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer – Motion & Behavioral Planning at DiDi Labs. Skills: Behavioral planning, Motion planning, Robotics. Design Behavioral Planning logic. Develop motion planning algorithms”
Industry & Context.
Root cause investigation
What They're Looking For.
Must Have
B.S./M.S. in Computer Science, Experience in autonomous systems, Proficiency in C++, Solid understanding of robotics fundamentals
Nice to Have
PhD or internship experience, Knowledge of vehicle dynamics, Solid understanding of machine learning principles
What You'll Do.
Design Behavioral Planning logic
Develop motion planning algorithms
Architect geometry system
Architect velocity system
Model complex driving scenarios
Design costs for trajectory ranking
Conduct analysis and testing
Debug system performance
Investigate root causes
Collaborate with Prediction team
Collaborate with Perception team
Collaborate with Control teams
How You'll Work.
Team & Collaboration
Prediction team; Perception team; Control teams
Full Job Description
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. In August 2019, the unit became an independent company, DiDi Autonomous Driving, dedicated to advanced AD R&D, product application, and business expansion. We believe integrating AD technology into a shared-mobility fleet will generate immense social value. By leveraging DiDi's specialized technology, operational expertise, and integrated ecosystem, we are positioned to build and operate a highly efficient, user-oriented autonomous fleet. About The Role We are seeking a Software Engineer /Sr. Software Engineer to join our team and develop the core decision-making and motion planning systems for our autonomous vehicles. In this role, you will be responsible for creating the algorithms that enable smooth, safe, and intelligent navigation in complex environments. You will tackle challenges across the full motion planning stack, from high-level behavioral reasoning to low-level trajectory optimization. Responsibilities Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (e.g., lane changes, merges, yields, and interactions with other agents). Develop and optimize the motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning (path) and Speed Reasoning (velocity) into a cohesive trajectory. Architect and enhance the geometry system for generating geometrically feasible and compliant paths. Architect and refine the velocity system for generating context-aware, comfortable, and safe velocity profiles. Model complex driving scenarios and agent interactions to create a robust world model for the behavioral planner. Design different costs for trajectory ranking to trade off ETAs, comfort and safety of the vehicle behaviors. Conduct in-depth analysis, testing, and debugging of the system's performan
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