Graph Neural Network Engineer (m/w/d) – GNNs for Autonomous UAV Swarm Coordination

Festanstellung, Vollzeit · Munich (DEU), Remote, Bochum (DEU), Lviv (UKR), Munich Hybrid, Different Hubs all over Europe, Berlin, Bordeaux, Toulouse, Warschau, Paris

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)
Nice to have
  • 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.
About us

We are a defence-tech start-up specializing in machine vision solutions. If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for you! 


 What We Do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs. 


 Who We Are: Based in Munich, Berlin and Bochum we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture—valuing the collaboration that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy. 

 



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