Senior AI Systems Engineer – Robotics/Swarming (all genders)

About This Opportunity

We are representing a confidential defense technology client seeking a Senior AI Systems Engineer – Robotics/Swarming in Munich. This is an opportunity to work on real-world autonomous systems that deploy today, not years from now. Our client builds software-defined unmanned platforms operating in high-stakes, contested environments where reliability and performance are non-negotiable.

This role sits at the intersection of machine learning, embedded systems, and tactical robotics. You'll be building the behavioral logic and decision-making frameworks that power coordinated drone swarms—working hands-on with multi-agent reinforcement learning, decentralized coordination algorithms, and high-fidelity simulation environments.

Responsibilities

• Design, train, and deploy decision-making frameworks using reinforcement learning, imitation learning, and behavior-tree architectures for coordinated autonomous behavior across multiple unmanned platform types
• Develop algorithms for decentralized task allocation, collective intelligence, and multi-vehicle strategic coordination under communication-constrained or GPS-denied conditions
• Build and utilize ROS2 SITL environments to stress-test behavioral logic, neural networks, and reactive behaviors before hardware deployment
• Engineer pipelines to transition trained models and policies from GPU clusters onto edge robotics hardware without performance degradation
• Collaborate with perception and flight control teams to ensure AI-driven behaviors interface cleanly with safety-critical flight software written in C++
• Profile and debug behavioral system performance under embedded constraints, ensuring stability and robustness in field deployments
• Contribute to system-level architecture discussions on autonomous decision-making, heuristic planning, and multi-agent reliability

What We're Looking For

• Master's or Ph.D. in Robotics, Computer Science, Aerospace Engineering, or related field with emphasis on autonomous decision-making
• 3+ years 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; comfort working alongside safety-critical flight code
• Mastery of Software-in-the-Loop (SITL) workflows to validate 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/motion planning applicable to multi-UAV coordination
• Proven track record moving machine learning models from simulation to physical edge-robotics systems—ideally on multi-vehicle or swarm platforms rather than single-agent robotics
• Strong debugging skills in real-time, resource-constrained environments
• Effective communicator able to work across autonomy, hardware, and flight-software disciplines
• Willingness to travel occasionally for field testing and deployment

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to ensure alignment with the role requirements and your career goals. Qualified candidates are then submitted to our client for consideration. Please do not contact the employer directly—all communication flows through our recruiting team to ensure a smooth, confidential process.

Pay

Compensation details will be discussed during the screening process and are competitive with senior-level robotics AI engineering roles in Munich.

Equal Opportunity
Get A Job.ai is committed to creating an inclusive recruitment process. We welcome applications from all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.