Senior Computer Vision Engineer
Core
Building real-time computer vision and tracking systems for sports performance analysis, including neural network inference on edge hardware and 3D object tracking.
Role type
Senior Computer Vision & Tracking Engineer
Builds
Camera-based products for athlete performance insights (e.g., weightlifting tracking, human movement analysis)
Domain
Sports technology / Embedded AI / Computer Vision
Deliverable
production ML models
Required skills
Python, C/C++, real-time system engineering, neural network training and optimization, model conversion for edge accelerators, 3D geometry, state estimation, filtering, optimization
Preferred skills
depth camera experience (structured light, time-of-flight), embedded Linux, Docker on ARM, systems-level debugging
Responsibilities
Drive technical direction of computer vision and tracking pipelines; train and deploy neural networks for real-time segmentation and classification on embedded hardware; extend tracking pipelines for new movements; analyze tracking accuracy and build quality metrics
Seniority
Senior, hands-on IC
