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

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

Stark · Munich

At a glance

Type
Job
Organisation
Stark
Location
Munich
Work mode
On-site
Deadline
Rolling / not stated
Posted
14 Sep 2026

About this job

<br><strong>About Us</strong><p><p style="line-height:1.38;margin-top:12pt;margin-bottom:12pt;"><span style="font-size:14px;font-family:Arial, Helvetica, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments.</span></p><p style="line-height:1.38;margin-top:12pt;margin-bottom:12pt;"><span style="font-size:14px;font-family:Arial, Helvetica, sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;text-decoration:none;">We're focused on delivering deployable, high-performance systems - not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe - today.</span></p></p><br><strong>About the team</strong><p><span style="color:rgb(0,0,0);font-family:Arial, Helvetica, sans-serif;font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;">We move fast, ship real software, and operate under constraints most engineers never encounter — low-bandwidth networks, air-gapped devices, high-stakes decision loops. There is no room for abstraction for its own sake. Everything we build ends up in the hands of real operators in the field</span><span style="color:rgb(0,0,0);font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;">.</span><br><br><span style="color:rgb(0,0,0);font-family:Inter, '-apple-system', BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;">Our Team is dedicated to a mission of pure strikes.</span></p><br><strong>Your mission</strong><p>As an <strong>Senior AI Systems Engineer</strong> 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.<br><br>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.</p><br><strong>Responsibilities</strong><p><ul><li>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.</li><li>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.</li><li>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).</li><li>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).</li><li>Collaborate closely with the perception and flight control teams to ensure AI-driven behaviors interface cleanly with safety-critical C++ flight software.</li><li>Profile and debug behavioral system performance under embedded constraints, ensuring stability and robustness in field deployments across all three platform types.</li><li>Contribute to system-level architecture discussions on autonomous decision-making, heuristic planning, and multi-agent reliability.</li></ul></p><br><strong>Qualifications</strong><p><ul><li>Master's or Ph.D. in Robotics, Computer Science, Aerospace Engineering, or related field with emphasis on autonomous decision-making.</li><li>3+ years professional or advanced research experience in Robotics AI, multi-agent reinforcement learning, or autonomous behavioral modeling.</li><li>Strong programming proficiency in Python and C++ for embedded and robotics development; comfort working alongside safety-critical flight code.</li><li>Mastery of SITL workflows to validate neural networks and decision-making logic under variable, adversarial, or degraded-comms conditions.</li><li>Deep theoretical and practical knowledge of MDPs, game theory, heuristics, and trajectory/motion planning, applicable to strike-capable UAV coordination.</li><li>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.</li><li>Strong debugging skills in real-time, resource-constrained environments.</li><li>Effective communicator able to work across autonomy, hardware, and flight-software disciplines.</li><li>Willingness to travel occasionally for field testing and deployment.</li></ul><br><span style="color:rgba(0,0,0,0.9);font-family:'system-ui', '-apple-system', 'system-ui', 'Segoe UI', Roboto, Ubuntu, Oxygen, Cantarell, 'Fira Sans', 'Droid Sans', 'Helvetica Neue', Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);display:inline;">For further information please reach out to Sally Grütte-Pad, Interim Lead TA Partner via -----<p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Stark’s official page.
  4. 4 Submit as early as possible — many close once filled.
Apply on official site

Sourced from arbeitnow. Always verify details on the official website. Opportunihub never charges you to apply.

Frequently asked questions

How do I apply for Senior AI Systems Engineer – Robotics/Swarming (all genders)?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Stark’s official page.

Is this opportunity remote or location-based?

This opportunity is based in Munich. Check the official listing for any relocation or on-site requirements.

Is Senior AI Systems Engineer – Robotics/Swarming (all genders) free to apply for?

Opportunihub lists this Job for free. Legitimate Jobs do not ask for payment to apply — never pay a fee to submit an application.