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.