Motion Planning Engineer (m/f/d)

About This Opportunity

We are representing a confidential autonomous vehicle technology company based in Berlin. Our client is developing advanced Level 4 autonomous driving systems and is building a multidisciplinary engineering team to bring certifiable autonomous solutions to European roads. We're seeking a Motion Planning Engineer to design and optimize trajectory generation algorithms that enable safe, efficient autonomous navigation.

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
• Collaborate 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 We're Looking For

• 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 is valued equally with formal qualifications
• 3+ years of experience in motion planning, robotics, or autonomous vehicle software
• Proven experience developing motion planning and trajectory generation algorithms for robotics or autonomous vehicles, with solid 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 and 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, 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
• Comfortable working with Git/CI-CD pipelines and real-time/embedded system constraints
• Experience working cross-functionally with perception and software integration teams, with understanding of functional safety requirements for autonomous systems
• Analytical, structured problem-solving mindset with safety-conscious approach and ability to clearly communicate algorithmic trade-offs to technical and non-technical stakeholders
• English proficiency (C1 level required); German is a plus

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we'll submit your candidacy to our client for consideration and guide you through their interview process. Please apply exclusively through Get A Job.ai—do not contact the client directly, as we are managing this search on their behalf.

This role is based in Berlin with flexible working hours. Our client values in-person collaboration and has chosen not to operate as a fully remote company, emphasizing face-to-face teamwork at their Berlin location.

Pay

Compensation details will be discussed during the screening process based on your experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to inclusive recruitment practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout the hiring process.