Senior Robotics Autonomy Engineer - Planning, Decision & Intercept

Promethion UG; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Promethion Industries in Berlin is seeking a Senior Robotics Autonomy Engineer to turn mission objectives, target state and vehicle state into executable autonomous behavior for high-speed aerial systems.

You will build the autonomy layer, develop real-time path planning, trajectory generation and MPC-based optimization, and validate algorithms through flight testing, collaborating with perception, estimation and control engineers.

Qualifications

• Strong robotics/autonomy background with real-world deployment.
• Experience with motion planning, trajectory generation or autonomous decisions.
• Deep understanding of kinematics, dynamics and optimization.
• Experience with dynamic environments and moving-target problems.
• Trajectory optimization, optimal control, MPC or similar approaches.
• Strong C++ and Python skills.
• Experience deploying autonomy algorithms on real robots.
• Understanding of uncertainty in decision-making and planning.
• Ability to design algorithms for real-time compute constraints.
• Hands-on attitude and flight testing involvement.

Responsibilities

• 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.

Skills

Robotics & autonomy background

Motion planning

Kinematics & dynamics

Uncertainty in planning

Real-time compute constraints

Flight testing experience

Python scripting

Tools

ROS2

PX4

Job description

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.