Motion Planning Engineer
MOTOR Ai
Seniority
Midweight
Model
Remote
Sector
Salary
Undisclosed
Contract
Full-Time
Design and implement motion planning algorithms that generate safe and efficient vehicle trajectories under diverse driving conditions for Level 4 autonomous systems. You will optimize planned trajectories for safety, comfort, and efficiency, balancing competing constraints in real time.
What you'll do
- Design and implement motion planning algorithms that generate safe and efficient vehicle trajectories under diverse driving conditions
- Optimize planned trajectories for safety, comfort, and efficiency, balancing competing constraints in real time
- Validate motion planning behavior in simulation and on real-world test data, identifying and resolving edge cases
- Work closely with perception and software integration teams to ensure motion planning outputs integrate reliably into the overall driving stack
- Ensure motion planning algorithms meet defined performance benchmarks and safety requirements for autonomous operation
What you'll need
- A completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline
- 3+ years of experience in motion planning, robotics, or autonomous vehicle software
- Proven experience developing motion planning/trajectory generation algorithms for robotics or autonomous vehicles, with a solid background in optimization techniques (e.g. model predictive control, sampling-based planners)
- Strong C++ and/or Python skills, with experience in motion planning frameworks/libraries (e.g. OMPL, MoveIt) and optimization solvers for trajectory optimization/MPC (e.g. CasADi, OSQP, IPOPT)
- Experience with ROS/ROS2 and simulation environments (e.g. CARLA, Gazebo), plus solid grounding in control theory and state estimation (e.g. Kalman filters), linear algebra, and numerical optimization
- Experience validating algorithms via simulation and real-world test data, including edge-case analysis, and comfortable working with Git/CI-CD and real-time/embedded system constraints
- English C1 required; German is a plus
What they offer
- Flexible working hours with room for the realities of life
- Professional development with covered costs for further education and training
- Subsidy for public transport tickets
- Partner corporate benefits including discounts on fashion, beauty, travel, and culture
- Attractive location in Wedding with excellent public transport connections

