DiDi Labs
Software Engineer – Motion Planning
About this role
DiDi Autonomous Driving seeks a Software Engineer to develop motion planning algorithms for Level 4 autonomous vehicles. You'll design behavioral reasoning systems, trajectory optimization, and path/velocity planning that integrate perception and control into safe, intelligent navigation.
What you'll do
- Design and implement core motion planning logic for high-level vehicle actions like lane changes and merges
- Develop trajectory optimization algorithms integrating geometry and velocity reasoning
- Architect and enhance geometry systems for feasible path generation
- Build velocity planning systems for safe and comfortable speed profiles
- Model driving scenarios and agent interactions for robust world modeling
- Collaborate with Prediction, Perception, and Control teams on system integration
What they're looking for
- C++ (real-time algorithm implementation)
- Motion planning and trajectory optimization
- Robotics fundamentals and decision-making
- Control theory and optimization algorithms
- Vehicle dynamics and longitudinal/lateral control
- Machine learning and reinforcement learning
- Search algorithms and cost function design
- System debugging and performance analysis
Benefits
- Competitive base salary with bonus and equity
- Work on cutting-edge Level 4 autonomous driving technology
- Collaborate with world-class robotics and autonomous systems teams
- San Jose, CA location in tech hub
- Opportunity to impact transportation safety and efficiency at scale
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DiDi Labs
DiDi Labs develops autonomous driving technology for Level 4 vehicles, focusing on motion planning, behavioral decision-making, map fusion, and robotic simulation systems. The company is hiring software engineers and researchers to build algorithms, trajectory optimization systems, and cloud-based simulation infrastructure that enable safe and intelligent autonomous vehicle navigation.
View all jobs at DiDi LabsLikely interview questions
- Walk us through your experience with motion planning algorithms—what's the most complex trajectory optimization problem you've solved?
- How have you approached balancing safety, comfort, and efficiency when designing cost functions for autonomous systems?