Computer Vision Engineer

Overview We are looking for a Computer Vision Engineer to help build and deploy perception systems that run onboard autonomous aerial platforms. This is not offline research. Our algorithms run in real time on embedded computers, in the air, in conditions we do not control.

You will work across classical computer vision, camera integration and validation, calibration and optimization for constrained hardware. You will take your work to the field, fly it, look at the logs and improve it. Our platforms serve both commercial and government customers across applications including inspection, mapping, search and rescue and security.

If you like hard real world problems and short feedback loops between an idea and a flight test, we want to talk with you.

and Duties Implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform. Integrate new camera modules onto our platforms and validate them against real requirements: image quality, timing, latency and behavior in the conditions we actually fly in. Build repeatable test and evaluation procedures so that camera and algorithm performance is measured rather than judged by eye, and comparable across units, builds and iterations.

Run and improve camera calibration and sensor synchronization procedures, including multi camera and multi sensor setups. Profile and optimize pipelines for embedded inference against explicit la