Senior Software Engineer – Mission Autonomy (All Genders)

About This Opportunity

We are representing a confidential defense technology client based in Munich. They are building autonomous systems that operate in highly contested, real-world environments where performance, reliability, and speed matter most. This is not abstract research—it's deployed technology in the hands of operators.

Our talent team is searching for a Senior Software Engineer - Mission Autonomy to join their core engineering group. You'll architect decision-making systems for autonomous drone platforms, working at the intersection of reinforcement learning, multi-agent coordination, and embedded robotics.

Responsibilities

• Design, train, and deploy decision-making frameworks using reinforcement learning, imitation learning, and behavior-tree architectures for coordinated autonomous flight across multiple platform types
• 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 SITL environments to stress-test behavioral logic, neural networks, and reactive behaviors before hardware deployment
• Engineer 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 ensure AI-driven behaviors interface cleanly with safety-critical C++ 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-comms conditions
• Deep theoretical and practical knowledge of MDPs, game theory, heuristics, and trajectory/motion planning applicable to UAV coordination
• Proven track record moving ML models from simulation to physical edge-robotics systems—ideally on multi-vehicle or swarm platforms
• 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. A recruiter from our team will screen your application and coordinate next steps. If there's a mutual fit, we submit your profile to our client for consideration. Please do not contact the client directly—all communication flows through Get A Job.ai to protect both your candidacy and our client relationship.

Pay

Compensation details will be discussed during the screening process and are competitive for senior autonomy engineering roles in Munich.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We encourage applications from candidates of all backgrounds and experiences.