Your mission

• Design and optimize edge computing architectures for real-time UAV data processing
• Develop low-latency AI inference pipelines for onboard perception, navigation, and decision-making
• Implement distributed computing frameworks for UAV swarms (Federated Learning, Edge AI, GNNs)
• Optimize resource allocation, power efficiency, and thermal management for embedded AI systems
• Work with hardware accelerators (Jetson, Coral, Movidius, FPGA, Edge TPU) to run AI models efficiently
• Ensure fault tolerance, redundancy, and real-time system resilience for autonomous UAV operations
• Develop secure, decentralized processing strategies to minimize cloud dependency

Your profile

• 3+ years experience in edge computing, real-time processing, or embedded AI systems
• Strong expertise in C++, Rust, or Python for high-performance AI applications
• Experience with AI model optimization (TensorRT, ONNX, OpenVINO, TVM, quantization)
• Knowledge of containerized execution on embedded devices (Yocto, Docker, MicroK8s, k3s)
• Familiarity with distributed computing, federated learning, and swarm AI
• Understanding of low-power optimization, memory management, and system security

• Experience with real-time operating systems (RTOS, FreeRTOS, Zephyr, QNX)
• Background in multi-agent reinforcement learning (MARL) and decentralized AI
• Knowledge of cybersecurity for edge AI and UAV communication

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.