1 month 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 competing real-time constraints.
- Validate motion-planning behavior in simulation and on real-world test data, resolving edge cases.
- Collaborate with perception and software integration teams to integrate motion-planning outputs into the driving stack.
- Ensure algorithms meet performance benchmarks and functional safety requirements for autonomous operation.
Requirements
- Completed education 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.
- 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, optimization solvers, ROS/ROS2, and simulation environments.
- Knowledge of control theory, state estimation, Kalman filters, linear algebra, and numerical optimization.
- Experience validating algorithms with simulation and real-world test data, including edge-case analysis.
- Experience with Git, CI/CD, and real-time or embedded-system constraints.
- Understanding of functional safety requirements for autonomous systems and ability to communicate algorithmic trade-offs clearly.
- English proficiency at C1 level is required; German is a plus.
Benefits
- Flexible working hours that accommodate personal responsibilities.
- Discounts through the Corporate Benefits partner program.
- Subsidy for public-transport tickets.
- Company-funded further education and training.
- Location in Wedding with good public-transport connections.
- Face-to-face collaboration in a non-fully-remote workplace.
- Diverse, international, and socially focused working environment.
