Your mission

• Develop high-fidelity simulation environments for UAV swarm behavior, mission planning, and testing
• Implement digital twin models for real-time UAV performance evaluation and optimization
• Create physics-based simulations for aerodynamics, sensor fusion, and environmental conditions
• Integrate AI-driven predictive modeling for UAV decision-making and failure analysis
• Work with HIL (Hardware-in-the-Loop) and SIL (Software-in-the-Loop) simulations
• Optimize scalability for multi-agent UAV swarm simulations in distributed environments
• Collaborate with AI, robotics, and embedded teams to validate autonomous UAV systems

Your profile

• 3+ years experience in simulation, robotics, or digital twin development
• Strong expertise in C++, Python, or Rust for real-time simulation engines
• Experience with simulation frameworks (Gazebo, AirSim, PyBullet, CARLA, Unreal Engine, Unity)
• Knowledge of multi-agent reinforcement learning (MARL) and swarm intelligence
• Familiarity with sensor modeling for Radar, Lidar, EO/IR, Acoustic, and RF systems
• Understanding of cloud-based or edge computing solutions for large-scale simulations

• Experience in defense, aerospace, or UAV flight dynamics modeling
• Background in neural simulation and AI-based scenario generation
• Knowledge of federated learning for decentralized UAV training environments

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.