Computer Vision Engineer

• Bachelor’s degree in computer science, computer engineering, or a related discipline, or equivalent practical experience \n

• Professional experience developing computer vision software in C++ and Python \n

• Experience with OpenCV and a deep learning framework such as PyTorch \n

• Experience with object detection and tracking algorithms \n

• Working knowledge of camera models, calibration, and multi-view geometry \n

• Experience deploying vision software on embedded or real-time systems \n

• U.S. Person status required (U.S. citizen, lawful permanent resident, or protected individual under 8 U.S.C. 1324b(a)(3)); this role involves access to ITAR- and EAR-controlled technical data \n

About Powerus

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Powerus is building a next-generation American autonomous systems platform designed to move, protect, and sustain critical assets in high-consequence environments. The company combines advanced autonomy, manufacturing capability, operational expertise, and strategic acquisitions to support defense, national security, critical infrastructure, and commercial operations globally.

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Mission

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Our mission is to deliver resilient autonomous technologies that strengthen national security, improve operational safety, and expand the capabilities of organizations operating in complex environments.

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Why Join Powerus

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Powerus aircraft carry electro-optical and infrared cameras that operators use to find, identify, and follow objects of interest. The processing that turns those images into detections and tracks runs on the aircraft, within tight limits on compute, power, and latency.

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This role develops and deploys the vision algorithms that run onboard, and verifies them against real flight imagery across lighting, weather, and sensor conditions.

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