Product Engineering & Quality
Automotive Semiconductors & Safety
Join the autonomous driving team.
Originally posted 13 October 2026 by the employer.
About the role
This role supports Planning and Control integration and adaptation across multiple vehicle platforms, gaining hands-on experience in issue analysis, algorithm validation, and engineering tool development.
What you'll do
- Support Planning and Control integration, parameter tuning, and adaptation across vehicle platforms.
- 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.
What you'll need
- 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.
- Proficient English communication skills, both written and verbal.
- Able to work at least three days per week throughout the internship.
Skills: autonomous driving, planning and control, vehicle platforms, driving issues, algorithm validation, C++/Python
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