Your mission

• Develop Graph Neural Network (GNN)-based AI models to optimize autonomous decision-making and swarm coordination for UAVs
• Design multi-agent reinforcement learning (MARL) algorithms utilizing GNNs for real-time UAV communication and distributed intelligence
• Implement graph-based message passing and decentralized learning to enhance UAV swarm behavior under dynamic conditions
• Work on graph-based trajectory prediction, collision avoidance, and swarm path optimization
• Integrate GNN models with sensor fusion data (Radar, EO/IR, RF, Lidar, Acoustic) for robust decision-making in contested environments
• Optimize low-latency, energy-efficient inference of GNN models on edge computing hardware (Jetson, FPGA, Neuromorphic Chips)
• Conduct simulation-based validation (Gazebo, AirSim, CARLA) and real-world testing of GNN-based UAV coordination models
• Ensure compliance with military AI standards (MIL-STD, ITAR, NATO STANAGs, AI Ethics in Autonomous Systems)

Your profile

• 5+ years experience in Graph Neural Networks, Reinforcement Learning, or Multi-Agent AI
• Expertise in GNN architectures (GCN, GAT, GraphSAGE, Diffusion Networks) for distributed AI decision-making
• Proficiency in Python, C++, TensorFlow/PyTorch, DGL, or PyG (PyTorch Geometric)
• Strong knowledge of graph-based path planning, decentralized control, and swarm intelligence
• Experience in real-time AI inference on embedded UAV platforms (Jetson, Edge TPU, FPGA, Neuromorphic Computing)

• Experience in military UAV swarms, real-time adversarial decision-making, and AI-driven electronic warfare (EW)
• Background in differentiable graph learning for real-time UAV adaptation
• Knowledge of biologically inspired swarm intelligence and quantum-enhanced GNNs

Why us?

Join us to shape the future of AI-driven defense!

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.   
We look forward to receiving your detailed application via our online form.  

The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.