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About the Role

As a Senior AI Systems Engineer focusing on Robotics and Swarming, you will define the tactical brain and behavioral logic for next-generation autonomous drone swarms. You will work with advanced behavioral frameworks, multi-agent reinforcement learning, and high-fidelity simulation environments to build robust, scalable decision-making functionality, bridging the gap between machine learning models and physical flight controls for real-time swarm reasoning and coordination.

Responsibilities

Design, train, and deploy decision-making frameworks using RL, imitation learning, and behavior-tree architectures for coordinated behavior 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 SITL environments to test behavioral logic, neural networks, and reactive behaviors before hardware deployment.
Engineer pipelines to move trained models and policies from GPU clusters to edge robotics hardware without performance degradation.
Collaborate with perception and flight control teams to ensure AI-driven behaviors interface with C++ flight software.
Profile and debug behavioral system performance under embedded constraints for stability and robustness in field deployments.
Contribute to system-level architecture discussions on autonomous decision-making, heuristic planning, and multi-agent reliability.

Requirements

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.
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.
Eligible to obtain and maintain the appropriate security clearance required for this position.

Skills

Robotics AI
Multi-agent reinforcement learning
Autonomous behavioral modeling
Python
C++
ROS2 SITL
Machine learning models
Edge robotics
Multi-vehicle coordination
Swarm platforms
Embedded systems
Real-time debugging
Resource-constrained environments
Behavioral frameworks
High-fidelity simulation
Decision-making functionality
Machine learning models
Physical flight controls
RL
Imitation learning
Behavior-tree architectures
Decentralized task allocation
Collective intelligence
Strategic coordination
Communication-constrained environments
GPS-denied conditions
TDOA/RSSI localization
Mesh networking
Neural networks
Reactive behaviors
Containerized comms
Leader-follower scaling
Perception
Flight control
Safety-critical C++ flight software
System-level architecture
Autonomous decision-making
Heuristic planning
Multi-agent reliability
MDPs
Game theory
Heuristics
Trajectory/motion planning
UAV coordination

Experience Level

Senior

Education Level

Master's degree
Ph.D.

About the Company

STARK is a defence technology company revolutionizing autonomous systems deployment across multiple domains.
We design, develop, and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective.
Our systems provide operators with a decisive edge in highly contested environments.
We focus on delivering deployable, high-performance systems.
STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe.

Equal Opportunity

We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.