2 months 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 on real-world test data, including identifying and resolving edge cases.
- Collaborate with perception and software integration teams to integrate motion-planning outputs into the driving stack.
- Ensure algorithms meet defined performance benchmarks and safety requirements for autonomous operation.
Requirements
- Completed education in computer science, robotics, engineering, applied mathematics, or a comparable field, or equivalent vocational training 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 C++ and/or Python skills and experience with motion-planning frameworks, libraries, and optimization 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 and working with real-time or embedded-system constraints.
- Experience with Git and cross-functional collaboration involving perception and software integration teams.
- Understanding of functional-safety requirements for autonomous systems.
- English at C1 level is required; German is a plus.
- Analytical problem-solving skills, a safety-conscious approach, and the ability to communicate algorithmic trade-offs clearly.
Benefits
- Flexible working hours.
- Corporate Benefits partner discounts.
- Subsidy for public transport tickets.
- Employer-covered costs for further education and training.
- Location in Berlin-Wedding with strong public-transport connections.
- Face-to-face collaboration in a non-fully-remote work environment.
- Diverse, international team and work on socially significant autonomous-mobility solutions.
