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Planning and Control Adaptation Intern, Autonomous Driving - 2027

NVIDIA· Intern
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Beijing, ShanghaiinternPosted 1w ago

About the role

Planning and Control Adaptation Intern to support integration and adaptation across vehicle platforms for autonomous driving, with hands-on experience in issue analysis, algorithm validation, and engineering tool development.

Responsibilities

  • Support Planning and Control integration, parameter tuning, and adaptation across vehicle platforms with different dynamics, steering and braking systems, and actuator configurations.
  • Analyze driving issues involving path and speed planning, lane changes, merging, yielding, intersections, and lateral and longitudinal control.
  • Use simulation, replay tools, and vehicle logs to reproduce issues, investigate root causes, and validate improvements.
  • Perform cross-carline testing and evaluate driving safety, comfort, smoothness, and robustness.
  • Develop Python or C++ tools for log analysis, parameter comparison, regression testing, and result visualization.
  • Collaborate with Planning and Control engineers on integration, validation, and delivery for production autonomous driving programs.

Qualifications

  • Currently pursuing a Master's or PhD degree in Computer Science, Robotics, Automotive Engineering, Electrical Engineering, or a related field.
  • Good C++ or Python programming skills, with familiarity with Linux development and software debugging workflows.
  • Basic understanding of motion planning, vehicle control, vehicle kinematics or dynamics, or numerical optimization, with strong analytical, problem-solving, and teamwork skills.
  • Proficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams.
  • Able to work at least three days per week throughout the internship.

Skills

Required:C++PythonLinuxMotion planning
Last updated Oct 16, 2026. Interested? Apply on the company site.

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