Expert Motion Planning Engineer - Self-Driving
On-siteFrankfurt am Main, Hesse, Germany
Job Summary
Design and optimize motion planning algorithms that handle complex, interactive traffic scenarios while formulating trajectory generation methods balancing safety, comfort, and efficiency. Research and apply state-of-the-art planning methods including optimization-based approaches, probabilistic decision-making, and reinforcement learning. Integrate perception, prediction, and mapping outputs into planning pipelines and ensure real-time performance on automotive-grade embedded hardware. Contribute to closed-loop validation pipelines covering simulation, software-in-the-loop, hardware-in-the-loop, and on-road vehicle testing. Collaborate with multidisciplinary teams to integrate planning algorithms into the self-driving autonomy stack and drive engineering excellence through clean, efficient, and well-tested code.
Required Qualifications
- MSc/PhD in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field
- 5+ years of relevant industry experience
- Strong background in motion planning, trajectory optimization, and decision-making methods (e.g., A*, optimization-based planning, graph search etc.)
- Experience with reinforcement learning, imitation learning, or deep learning approaches for planning and control
- Proficiency in Python and C++, with familiarity in ML frameworks such as PyTorch or TensorFlow
- Solid understanding of vehicle dynamics, kinematics, and control theory
- Hands-on experience with real-time systems, performance optimization, and deployment on embedded automotive hardware
- Skilled in simulation-based development and validation using tools such as CARLA or MATLAB/Simulink
- Strong mathematical foundation in optimization, linear algebra, probability, and statistics
- Excellent problem-solving skills and ability to work in fast-paced, collaborative environments
Desired Qualifications
- Prior experience in self-driving or ADAS development
- Familiarity with functional safety standards (ISO 26262, SOTIF)
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