Senior Motion-Planning Engineer - Autonomous Driving

DiDi; San Jose (CA); On-site; USD 129,000 - 215,000; Full time

Job summary

DiDi Autonomous Driving seeks a junior or skilled Software Engineer to join the team and develop core decision-making and motion planning systems for autonomous vehicles. You will create algorithms enabling smooth, safe navigation in complex environments, tackling the full motion planning stack from high-level behavioral reasoning to low-level trajectory optimization.

The role collaborates with Prediction, Perception, and Control teams and requires strong C++/Python skills and robotics

Qualifications

• B.S./M.S. in Computer Science, Robotics, or a related field.
• Experience in autonomous systems, robotics, or automotive software development.
• Strong proficiency in C++ and Python for implementing complex, real-time algorithms.
• Solid understanding of robotics fundamentals, including decision-making, motion planning, control theory, trajectory ranking, search and optimization algorithms.
• Related experience in behavioral planning, motion planning, world environment reasoning, trajectory ranking and cost design.

Responsibilities

• Design and implement the core Behavioral Planning logic that determines the vehicle's high-level actions (lane changes, merges, yields, interactions with other agents).
• Develop and optimize motion planning algorithms that execute behavioral decisions, integrating Geometry Reasoning and Speed Reasoning 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 performance in various scenarios, leading root cause investigations.
• Collaborate with Prediction, Perception, and Control teams to ensure a seamless flow from environmental understanding to physical vehicle motion.

Skills

C++

Python

Robotics fundamentals

Education

B.S./M.S. in Computer Science or Robotics

Job description

DiDi Autonomous Driving seeks a junior or skilled Software Engineer to join the team and develop core decision-making and motion planning systems for autonomous vehicles. You will create algorithms enabling smooth, safe navigation in complex environments, tackling the full motion planning stack from high-level behavioral reasoning to low-level trajectory optimization.

The role collaborates with Prediction, Perception, and Control teams and requires strong C++/Python skills and robotics