Principal Computer Vision Engineer
Core
Leading the development of real-time computer vision and tracking systems for camera-based sports performance technology, enabling sub-rep precision analysis of athlete movements and weightlifting.
Role type
Principal Computer Vision & Tracking Engineer
Builds
Perception stack for edge AI accelerators, 3D object tracking, and motion recognition pipelines for professional sports teams.
Domain
Sports technology, embedded AI, computer vision, robotics perception
Deliverable
production ML models
Required skills
Computer vision, real-time systems, ML/AI deployment, robotics perception, Python, C/C++, embedded hardware optimization, model training, 3D geometry, state estimation
Preferred skills
Pose estimation, human movement analysis, biomechanics, depth cameras, embedded Linux, Docker on ARM
Technologies
Edge AI accelerators, Python, C/C++, embedded Linux, Docker, ARM
Responsibilities
Own technical direction of computer vision and tracking domain; lead and mentor a small team; train and deploy neural networks for real-time segmentation on embedded hardware; extend tracking pipeline for new movements; analyze tracking accuracy and build quality metrics.
Seniority
Principal, hands-on IC with leadership
