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About the Role
Our mission is to spearhead the deployment of Level 4 autonomous systems in Germany and beyond. By combining cutting-edge AI with the expertise of our multidisciplinary team, we are set to introduce the first certifiable solution of its kind to European roads.
Responsibilities
- 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
Requirements
- 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
- Strong C++ and/or Python skills, with experience in motion planning frameworks/libraries and optimization solvers for trajectory optimization/MPC
- Experience with ROS/ROS2 and simulation environments, plus a solid grounding in control theory and state estimation, 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
- Experience working cross-functionally with perception and software integration teams, with an understanding of functional safety requirements for autonomous systems
- An analytical, structured problem-solving mindset, a safety-conscious approach, and the ability to clearly communicate algorithmic trade-offs to technical and non-technical stakeholders
- English C1 is required; German is a plus
Skills
- Motion planning
- Robotics
- Autonomous vehicle software
- Optimization techniques
- Model predictive control
- Sampling-based planners
- C++
- Python
- OMPL
- MoveIt
- CasADi
- OSQP
- IPOPT
- ROS/ROS2
- CARLA
- Gazebo
- Control theory
- State estimation
- Kalman filters
- Linear algebra
- Numerical optimization
- Git/CI-CD
- Real-time/embedded system constraints
- Functional safety requirements for autonomous systems
Location
- Germany
Work Type
- Onsite
Experience Level
- 3+ years of experience
Education Level
- Degree in computer science, robotics, engineering, applied mathematics, or comparable field, or equivalent vocational training/apprenticeship
Benefits
- Flexible working hours
- Discounts through Corporate Benefits
- Subsidy for public transport tickets
- Coverage of costs for further education and training
About the Company
- Since 2017, we have remained dedicated to one goal: shaping a future that is already in motion.
- At our new premises, we place great importance on getting to know one another and working together to drive our vision forward.
- Our international team is growing and working together on this exciting mission.
- Face-to-face collaboration is the key to success, which is why we have decided not to become a fully remote company.