Senior Robotics Autonomy Engineer - Planning, Decision & Intercept

Building autonomous supremacy systems in Berlin

Promethion Industries is a European defence technology company building autonomous supremacy systems for aerial and multi-domain operations. We design tightly integrated autonomy stacks in Europe to enable decisive autonomy for NATO-aligned forces, focusing on defensive and counter-system capabilities including anti-UAS and resilient autonomy under contested conditions.

We are looking for a Senior Robotics Autonomy Engineer to build the intelligence that turns mission objectives, target information and vehicle state into executable autonomous behaviour.

Your mission with us

• Build the autonomy layer of our high-speed aerial robotic systems.
• Convert mission objectives, target state and vehicle state into real-time actions and trajectories.
• Develop algorithms for dynamic rendezvous, pursuit, interception and terminal approach.
• Build target-motion prediction and intercept-point estimation for moving airborne targets.
• Develop real-time path planning, trajectory generation and replanning under uncertainty.
• Account for aircraft capabilities, energy, maneuverability, sensing uncertainty and changing target behaviour.
• Build decision and behaviour logic that allows the system to adapt continuously during a mission.
• Combine classical robotics, optimization, MPC and learned approaches where appropriate.
• Explore reinforcement learning, imitation learning and policy-based autonomy where they provide meaningful advantages.
• Work closely with perception, estimation and control engineers to close the autonomy loop.
• Take algorithms from simulation into real aircraft and validate them through repeated flight testing.

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.