Computer Vision & AI Engineer - Interceptor C‑UAS

At Quantum Systems, we are building highly autonomous interceptor systems that must perceive, decide, and act under extreme latency, motion, and environmental constraints.

We are looking for a Computer Vision & AI Engineer to drive the perception stack of our Counter-UAS interceptor platform. You will work on low-latency camera pipelines, small-object detection, object tracking, sensor fusion, visual odometry, precision landing, camera calibration, embedded inference, and data pipelines for training and validation.

This role is suited for someone with a strong academic or practical background in computer vision, AI, robotics, or perception systems. A Master’s degree is expected; a PhD is a strong plus. We are open to ambitious early-career candidates if they bring strong technical depth, practical implementation skills, and the ability to own complex perception problems.

You will develop the vision and AI pipeline that turns raw camera data into actionable perception outputs for autonomous flight. This includes low-latency detection and tracking, motion-aware vision, sensor fusion with inertial data, 3D direction-vector estimation, GPS-denied navigation, and precision landing support.

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you dont meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Why Quantum-Systems:

Quantum Systems is a leading European deep-tech company for unmanned systems across air, land and maritime domains. We develop and scale integrated hardware, software and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand and act across domains.

How to Apply

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