The Role
Design and implement safe, efficient motion-planning and trajectory-generation algorithms for Level 4 autonomous vehicles. Optimize trajectories using real-time constraints, validate performance through simulation and real-world data, analyze edge cases, and integrate planning outputs with perception and software teams. The role requires strong C++ or Python skills, robotics frameworks, optimization methods, control theory, state estimation, simulation, and an understanding of functional safety and embedded systems.
Summary Generated by Built In
Driving the transition to autonomous mobility: 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. Since 2017, we have remained dedicated to one goal: shaping a future that is already in motion.
Tasks
* 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
* A completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification
* 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 a 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
* 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
Benefits
* Genuine team spirit: working in teams that drive change forward – no matter how complex and extensive the projects are
* Flexible working hours – with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.)
* Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
* Social relevance: We work on solutions that have game-changing qualities
* Subsidy for public transport tickets
* Your professional development is important to us – that's why we cover the costs of further education and training
* Excellent transport links: attractive location in Wedding with very good public transport connections
* Focus on people: Our strength lies in our diversity. We respect each other for who we are
What are you waiting for? Apply to MOTOR Ai today and help make autonomous driving possible for everyone.
We particularly welcome applications from women and explicitly encourage them to apply for this position.
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.
_We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate._
Tasks
* 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
* A completed degree in computer science, robotics, engineering, applied mathematics, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification
* 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 a 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
* 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
Benefits
* Genuine team spirit: working in teams that drive change forward – no matter how complex and extensive the projects are
* Flexible working hours – with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.)
* Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
* Social relevance: We work on solutions that have game-changing qualities
* Subsidy for public transport tickets
* Your professional development is important to us – that's why we cover the costs of further education and training
* Excellent transport links: attractive location in Wedding with very good public transport connections
* Focus on people: Our strength lies in our diversity. We respect each other for who we are
What are you waiting for? Apply to MOTOR Ai today and help make autonomous driving possible for everyone.
We particularly welcome applications from women and explicitly encourage them to apply for this position.
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.
_We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate._
Skills Required
- Degree in computer science, robotics, engineering, applied mathematics, or a comparable field, or equivalent relevant technical vocational training
- 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
- Experience with optimization techniques such as model predictive control or sampling-based planners
- Strong C++ and/or Python skills
- Experience with motion-planning frameworks or libraries such as OMPL or MoveIt
- Experience with trajectory-optimization or MPC solvers such as CasADi, OSQP, or IPOPT
- Experience with ROS or ROS2 and simulation environments such as CARLA or Gazebo
- Knowledge of control theory, state estimation, Kalman filters, linear algebra, and numerical optimization
- Experience validating algorithms using simulation and real-world test data, including edge-case analysis
- Experience with Git, CI/CD, and real-time or embedded-system constraints
- Ability to work cross-functionally with perception and software integration teams
- Understanding of functional safety requirements for autonomous systems
- English proficiency at C1 level
- German language skills
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The Company
What We Do
MOTOR Ai is a Berlin-based deep tech company developing SAE Level 4 autonomous driving software grounded in cognitive neuroscience and fundamental German research. The company specializes in creating explainable, certifiable, and compliant AI systems for autonomous mobility, focusing on public transportation solutions. Its proprietary active-inference architecture enables deductive decision-making in complex traffic scenarios, ensuring safety and transparency in accordance with European and German regulatory standards.
