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

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Build the autonomy layer of our high-speed aerial robotic systems.

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Convert mission objectives, target state and vehicle state into real-time actions and trajectories.

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Develop algorithms for dynamic rendezvous, pursuit, interception and terminal approach.

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Build target-motion prediction and intercept-point estimation for moving airborne targets.

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Develop real-time path planning, trajectory generation and replanning under uncertainty.

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Account for aircraft capabilities, energy, maneuverability, sensing uncertainty and changing target behaviour.

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Build decision and behaviour logic that allows the system to adapt continuously during a mission.

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Combine classical robotics, optimization, MPC and learned approaches where appropriate.

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Explore reinforcement learning, imitation learning and policy-based autonomy where they provide meaningful advantages.

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Work closely with perception, estimation and control engineers to close the autonomy loop.

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Take algorithms from simulation into real aircraft and validate them through repeated flight testing.

Your contribution to the team (required)

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Strong robotics or autonomous-systems background with significant real-world deployment experience.

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Strong experience with motion planning, trajectory generation or autonomous decision-making.

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Deep understanding of kinematics, dynamics and optimization.

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Experience with dynamic environments and moving-target problems.

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Experience with trajectory optimization, optimal control, MPC or comparable approaches.

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Strong C++ skills and good Python skills.

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Experience deploying autonomy algorithms onto real robotic systems.

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Strong understanding of uncertainty and its implications for decision-making and planning.

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Ability to design algorithms that operate under real-time compute constraints.

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Hands-on attitude and willingness to participate directly in flight testing and system debugging.

Big plus

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UAV / fixed-wing autonomy.

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High-speed aerial robotics.

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Rendezvous, pursuit or intercept problems.

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Target-motion prediction.

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Aggressive flight.

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Reinforcement learning on real robots.

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Imitation learning / learned policies.

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PX4.

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ROS2.

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Optimal control and trajectory optimization.

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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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