About The Position

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. We are seeking a passionate and driven intern to join our Planning team for the summer. You will contribute to enhancing the efficiency and scalability of our autonomous vehicle planning system. This role offers hands-on exposure to system architecture, motion planning algorithms, and build optimization in a high-performance production codebase.

Requirements

  • PhD, Master’s students or senior undergraduate students majoring in Computer Science, Robotics, or a related field.
  • Strong C++ development skills with experience in performance-critical applications.
  • Solid problem-solving and debugging abilities.
  • Have experience of real-time system, especially latency handling
  • Familiarity with protobuf, ROS, or middleware architectures.

Nice To Haves

  • Familiarity with motion planning, robotics, or autonomous systems is a plus.
  • Experience with Bazel or other large-scale build systems is a bonus.
  • Self-driven and excited to dive into a large production codebase.

Responsibilities

  • Work on reducing planning latency through further modularization and system-level architectural improvements.
  • Analyze execution bottlenecks and help refine data dependencies and message structures.
  • Profile and improve the performance of path and speed planning algorithms.
  • Propose and implement algorithmic changes that reduce runtime without compromising planning quality.
  • Identify and resolve complex technical challenges, analyze data to identify potential issues.
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