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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Mission Autonomy (All Genders) - **Company:** STARK GmbH - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Computer Programming, Software Debugging, Game Theory, Global Positioning Systems (GPS), Python (Programming Language), Machine Learning, Mesh Networking, Motion Planning, Reinforcement Learning, Multi-Agent Systems, Information Technology - **Published:** August 25, 2026 - **Apply:** https://www.adzuna.de/details/5849861589 ## About the Role * 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 strike-capable UAV coordination. * Proven track record moving ML 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. ## Description As an Senior AI Systems Engineer with a focus on Robotics and Swarming, you will play a critical role in defining the tactical brain and behavioral logic onboard next-generation autonomous drone swarms. Rather than focusing on computer vision, you will work directly with advanced behavioral frameworks, multi-agent reinforcement learning, and high-fidelity simulation environments to build robust, scalable decision-making functionality. You will contribute as a highly skilled individual contributor-hands-on with the system-bridging the gap between machine learning models and physical flight controls, ensuring swarms can dynamically reason and coordinate in real-time. Your work will be essential to ensuring that our autonomous systems operate reliably in real-world, unpredictable environments. Responsibilities * Design, train, and deploy decision-making frameworks using RL, imitation learning, and behavior-tree architectures for coordinated behavior across our 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 - building on our existing TDOA/RSSI localization and mesh networking work. * Build and heavily utilize ROS2 SITL environments to stress-test behavioral logic, neural networks, and reactive behaviors before hardware deployment, extending our current simulation-phase epic (containerized comms, leader-follower scaling). * Engineer pipelines to move trained models and policies off the GPU cluster and onto edge robotics hardware without performance degradation, feeding directly into our hardware-phase epic (mesh networking with real drones, end-to-end flight test). * Collaborate closely with the 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 across all three platform types. * Contribute to system-level architecture discussions on autonomous decision-making, heuristic planning, and multi-agent reliability. ## Related Videos - [P2P networks in Blockchain](https://www.wearedevelopers.com/videos/209-p2p-networks-in-blockchain) - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Solving the puzzle: Leveraging machine learning for effective root cause analysis](https://www.wearedevelopers.com/videos/1518-solving-the-puzzle-leveraging-machine-learning-for-effective-root-cause-analysis) - [Robots are coming into the wild! 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