Senior AI Systems Engineer – Robotics/Swarming (all genders)
STARK Deutschland8 hours ago
Berlin, Germany or Munich, GermanySenior
Responsibilities
- Design, train, and deploy reinforcement learning, imitation learning, and behavior-tree decision-making frameworks for coordinated drone behavior.
- Develop algorithms for decentralized task allocation, collective intelligence, and multi-vehicle coordination under communication-constrained or GPS-denied conditions.
- Build and use ROS2 SITL environments to test behavioral logic, neural networks, and reactive behaviors before hardware deployment.
- Create pipelines to move trained models and policies from GPU clusters onto edge robotics hardware without performance degradation.
- Collaborate with perception and flight-control teams to integrate AI-driven behaviors with safety-critical C++ flight software.
- Profile and debug behavioral systems under embedded constraints and contribute to autonomous decision-making architecture, heuristic planning, and multi-agent reliability.
Requirements
- Master's or Ph.D. in Robotics, Computer Science, Aerospace Engineering, or a related field with an emphasis on autonomous decision-making.
- At least 3 years of professional or advanced research experience in Robotics AI, multi-agent reinforcement learning, or autonomous behavioral modeling.
- Strong programming proficiency in Python and C++ for embedded and robotics development.
- Mastery of SITL workflows for validating neural networks and decision-making logic under variable, adversarial, or degraded communications conditions.
- Deep theoretical and practical knowledge of Markov decision processes, game theory, heuristics, and trajectory or motion planning.
- Proven experience moving machine-learning models from simulation to physical edge-robotics systems, preferably on multi-vehicle or swarm platforms.
- Strong debugging skills in real-time, resource-constrained environments.
- Ability to collaborate across autonomy, hardware, and flight-software disciplines and willingness to travel occasionally for field testing and deployment.
Categories
ML EngineeringRobotics