Computer Vision Engineer developing sports technology for Hawk-Eye Innovations. Focused on improving tracking algorithms for tennis using computer vision techniques.
Responsibilities
Developing and improving tennis ball tracking algorithms using multi-camera systems
Contributing to multi-view geometry solutions for accurate tracking across the court
Supporting approaches to handling occlusion and recovery in fast-paced sports scenarios
Enhancing existing, mature computer vision systems used in live production
Optimising algorithms with performance and reliability in mind, including CPU and GPU considerations
Working in an agile environment to deliver robust, production-ready solutions
Assist in the development and improvement of computer vision algorithms
Implement, test, and validate algorithmic features
Collaborate with other engineers to solve complex vision challenges
Contribute ideas and improvements to existing approaches and pipelines
Share progress, challenges, and learnings with the wider team
Continue to grow technical capability through hands-on development
Requirements
Experience with computer vision algorithms (commercial or academic)
Working knowledge of C++, with a desire to continue developing modern C++ skills
An interest in performance optimisation for CPU and GPU workloads
Familiarity with image processing and multi-camera systems
A basic understanding of Git and Visual Studio
Exposure to CUDA or GPU acceleration (nice to have)
Awareness of concurrency, networking, or operating system concepts (nice to have)
Interest in machine learning and related libraries (nice to have)
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