Computer Vision Engineer

Огляд

At Lendurai, we enable unmanned aerial vehicles (UAVs) to operate independently of global navigation satellite systems and radio control, using computer vision and machine learning. We partner with multiple UAV manufacturers to deliver cost-effective capabilities to public sector and defence customers. Our team has deep experience in aerospace engineering, defence tech, and autonomous systems, with backgrounds at companies like Bolt (EE), Open Cosmos (UK), and Starship Technologies (EE). As a Computer Vision Engineer you’ll work on building up the AI stack that lets our aircraft understand the world in GNSS-denied airspace, based purely on visual perception. You will work on implementing, maintaining, and improving computer vision components, ensuring they are reliable, efficient, and production-ready.

Обов'язки

• designing, implementing, and improving core CV modules (visual odometry, SLAM, obstacle detection, terrain recognition, scene recognition, etc.)
• designing and training neural networks for real-time inference on embedded GPUs/NPUs, as well as specialized SOMs and NN accelerators
• collaboration across the full drone software stack (perception, control, planning, simulation)
• hands-on testing and potential involvement in drone piloting to ensure proper code integration

Вимоги

• strong C/C++ and Python programming skills
• theoretical and applied knowledge of computer vision algorithms
• strong grounding in deep learning architectures and applications
• proven experience in designing complex systems that operate outside the lab
• experience with PyTorch and OpenCV will be an advantage
• UAV or robotics background (work experience or education) will be an advantage
• experience with deploying neural networks on resource-constrained, real-time systems (mobile, embedded, robotics) will be an advantage

Умови

• monthly gross salary €3,500–7,000 based on experience and impact
• stock options
• mission-driven team that values ownership, curiosity, and a hands-on approach to solving defense challenges
• early technical influence in a growing defense tech startup
• focus on outcomes
• opportunity to contribute to real-world technologies that support defense and rapid innovation