Principal Computer Vision Engineer

Strong background in computer vision fundamentals (e.g. tracking, multi-view geometry). Proficiency in C++14 or newer. Experience with performance optimisation for CPU and/or GPU. Strong mathematical and analytical skills for modelling real-world data. Familiarity with OpenCV, Eigen, and other numerical or vision libraries. Experience using Git or other version control systems in collaborative environments.

Design and implement computer vision algorithms for real-time tracking across multiple sports. Model behaviour from noisy inputs using robust mathematical and statistical methods. Develop, test, and optimise C++ code for real-world performance and reliability. Prototype and experiment with vision techniques using OpenCV, CUDA, and numerical libraries. Build internal tools for visualisation and debugging of vision pipelines. Collaborate with cross-functional teams to align on goals, requirements, and delivery.