About the role
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.
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