Senior Computer Vision Engineer (Egocentric), Data Foundry
HQ - Atlanta, GAAll locationsHQ - Atlanta, GARemote, United States Remote
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About the role
We’re looking for an experienced Computer Vision Engineer and technologist to help build and scale this business from the ground up. This is an opportunity to build a new physical AI data business from the ground up, with access to an operating environment that would be difficult to replicate anywhere else. You will own the early egocentric video and perception stack—from data collection and camera rigs through vision models, processing pipelines, and dataset delivery. This is a hands-on builder-operator role: you’ll define what needs to be built, build the critical pieces yourself, and work with a small team to operationalize and scale them.
What you'll bring
- 8+ years building and shipping production computer vision/perception systems, or an MS/PhD in computer vision, ML, or robotics with 6+ years of hands-on industry experience.
- Experience building and scaling an egocentric perception or video data stack end to end
- Deep expertise in computer vision, including detection, tracking, segmentation, depth, 2D/3D pose estimation, and vision transformers.
- Strong command of geometric computer vision, including camera calibration, multi-view geometry, synchronization, and 3D reconstruction.
- Proven ownership of complex perception problems from data and model design through evaluation, optimization, and deployment, with measurable improvements in accuracy and reliability.
- Experience working with large, unstructured video and multimodal datasets, with a disciplined approach to evaluation and quality measurement.
- A track record of setting technical direction and raising the bar for other engineers.
- Proven ability to take ambiguous 0→1 problems from concept to working system with limited resources and no established playbook.
- Expert-level Python and strong software engineering fundamentals
- C++ experience where performance demands it.
- Most importantly, you’re a builder.
- You’re comfortable moving between hardware, data, models, infrastructure, and operations to make the system work.