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

Responsibilities

We are representing a confidential defense technology organization seeking a Senior AI Systems Engineer to shape the decision-making and behavioral logic of autonomous drone swarms. You will work hands-on with advanced behavioral frameworks, multi-agent reinforcement learning, and high-fidelity simulation environments to build robust, scalable autonomy for real-world deployment.

Your core responsibilities include:

• Design, train, and deploy decision-making frameworks using reinforcement learning, imitation learning, and behavior-tree architectures for coordinated multi-vehicle operations across fixed-wing, tube-launched, and quadcopter platforms
• Develop and optimize algorithms for decentralized task allocation, collective intelligence, and multi-vehicle strategic coordination under communication-constrained or GPS-denied conditions
• Build and utilize ROS2 software-in-the-loop (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 closely with perception and flight control teams to ensure AI-driven behaviors interface cleanly with safety-critical flight software
• 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 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 screen to understand your background and technical fit. We then submit qualified candidates to our client for their review and interview process. Please do not contact the client directly—all communication flows through our recruiting team to ensure a smooth, professional experience.

This role is based in Munich and offers the opportunity to work on cutting-edge autonomous systems in a mission-critical environment where your contributions directly impact real-world deployments.

Pay

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

Equal Opportunity
Get A Job.ai is committed to inclusive hiring practices. We welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.