28 days ago
Berlin, GermanyMid Level
Responsibilities
- Design and implement motion-planning algorithms that generate safe and efficient vehicle trajectories.
- Optimize trajectories for safety, comfort, and efficiency while balancing real-time constraints.
- Validate motion-planning behavior in simulation and real-world test data, including identifying and resolving edge cases.
- Collaborate with perception and software integration teams to integrate motion-planning outputs into the overall driving stack.
- Ensure motion-planning algorithms meet performance benchmarks and safety requirements for autonomous operation.
Requirements
- Completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field, or equivalent vocational training/apprenticeship in a relevant technical discipline.
- At least 3 years of experience in motion planning, robotics, or autonomous-vehicle software.
- Proven experience developing motion-planning or trajectory-generation algorithms for robotics or autonomous vehicles.
- Strong background in optimization techniques such as model predictive control and sampling-based planners.
- Strong C++ and/or Python skills, with experience using motion-planning frameworks or libraries and trajectory-optimization/MPC solvers.
- Experience with ROS/ROS2, simulation environments, control theory, state estimation, linear algebra, and numerical optimization.
- Experience validating algorithms with simulation and real-world test data, including edge-case analysis.
- Comfort working with Git, CI-CD, and real-time or embedded-system constraints.
- Understanding of functional-safety requirements for autonomous systems and experience collaborating cross-functionally.
- English at C1 level is required; German is a plus.
Benefits
- Flexible working hours.
- Discounts through the Corporate Benefits partner program.
- Public-transport ticket subsidy.
- Employer-covered further education and training costs.
- Attractive location in Wedding with good public-transport connections.
- Face-to-face collaboration is expected; the company is not fully remote.
- Diverse, international, collaborative team focused on socially relevant autonomous-driving technology.
