Job Description
About the Role 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. Your Mission 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. What is your Day to Day Mission: Bring up, optimize, and maintain high-performance camera pipelines, including CSI camera interfaces, raw image access, buffering, synchronization, and latency reduction. Develop detection algorithms for small and difficult-to-see objects in moving and rotating camera images. Combine machine learning and classical computer vision approaches where appropriate. Fuse inertial data, motion information, and visual data to improve detection and tracking in moving image sequences. Build object tracking pipelines that can switch from initial detection to low-latency tracking once a target has been acquired. Optimize perception pipelines for embedded execution on NVIDIA Jetson platforms. Work toward high frame-rate processing targets i
