Related skills
real-time cuda gpu multi-cameraπ Description
- Lead the design and evolution of ball and player tracking algorithms using multi-camera systems
- Own multi-view geometry solutions across entire tracking pipelines
- Driving occlusion handling, recovery and robustness in live sports environments
- Overseeing mature computer vision systems used in real-time production
- Guiding performance optimisation across CPU and GPU workloads
- Ensuring consistency and reliability across cross-platform deployments
π― Requirements
- Strong commercial experience developing computer vision algorithms in production environments
- Deep knowledge of modern C++, working within large and complex codebases
- Strong understanding of performance optimisation across CPU and GPU
- Solid experience with image processing, geometry and multi-camera systems
- Experience working on systems deployed in real-world production environments
- Ability to operate at both detailed algorithm level and high-level system design
π Benefits
- 25 days annual leave (excluding bank holidays)
- Enhanced pension scheme with 5% matching
- Hybrid working model
- Complimentary Unmind wellbeing app
- Onsite gym (Basingstoke)
- Sony Group Company discounts
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