Senior Robotics Autonomy Engineer - Planning, Decision & Intercept

Your contribution to the team (required)

• Strong robotics or autonomous-systems background with significant real-world deployment experience.
• Strong experience with motion planning, trajectory generation or autonomous decision-making.
• Deep understanding of kinematics, dynamics and optimization.
• Experience with dynamic environments and moving-target problems.
• Experience with trajectory optimization, optimal control, MPC or comparable approaches.
• Strong C++ skills and good Python skills.
• Experience deploying autonomy algorithms onto real robotic systems.
• Strong understanding of uncertainty and its implications for decision-making and planning.
• Ability to design algorithms that operate under real-time compute constraints.
• Hands-on attitude and willingness to participate directly in flight testing and system debugging.

Big plus

• UAV / fixed-wing autonomy.
• High-speed aerial robotics.
• Rendezvous, pursuit or intercept problems.
• Target-motion prediction.
• Aggressive flight.
• Reinforcement learning on real robots.
• Imitation learning / learned policies.
• PX4.
• ROS2.
• Optimal control and trajectory optimization.
• Aviation, defence or space systems.

Even if you don’t tick every box, we encourage you to apply - we’d love to hear from you.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation