Responsibilities
- Implement behavioral-planning solutions for lane changes, merges, yields, and multi-agent interactions.
- Design and optimize geometry-based path and context-aware speed-planning algorithms for smooth and safe trajectories.
- Develop geometry and velocity-planning systems that support feasibility, compliance, and comfort across driving scenarios.
- Model complex driving environments and agent behaviors for planning under uncertainty.
- Formulate cost functions and optimization frameworks balancing safety, comfort, and efficiency.
- Analyze, test, and debug system performance using simulation and real-world data.
- Collaborate with Perception, Prediction, and Control researchers and engineers to integrate the autonomy stack.
Requirements
- Recently completed or soon-to-complete PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
- Research or internship experience in motion planning, behavioral planning, trajectory optimization, control, or multi-agent interaction modeling.
- Research ability demonstrated through publications in top-tier conferences such as RSS, ICRA, IROS, CVPR, NeurIPS, or CoRL.
- Hands-on experience with C++ for implementing complex, real-time algorithms.
- Strong analytical and communication skills with a collaborative mindset.
Benefits
- Interns are eligible for Intern benefits.
- The hourly rate is $46 for the Intern position in the selected city.
- Applications are accepted on an ongoing basis for an existing vacancy.
Tech Stack
Categories
About DiDi
DiDi Global Inc. is a leading mobility technology platform. It offers a wide range of app-based services across Asia Pacific, Latin America, and other global markets, including ride hailing, taxi hailing, designated driving, hitch and other forms of shared mobility as well as certain energy and vehicle services, food delivery, and intra-city freight services. DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry, and the communities to solve the world’s transportation, environmental, and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive, and sustainable transportation and local services ecosystem for cities of the future.