Hawk-Eye Innovations · Los Angeles
Data & AIHawk-Eye Innovations (Value Streams)RemoteFullTimeposted 5d ago
Hi, I’m James Sharam, Head of Computer Vision at Hawk-Eye Innovations. I’m looking for a Senior Computer Vision Engineer to join our growing team. This is a key role focused on real-time skeletal, ball and game object tracking for multiple sports. A strong background in mathematics and modelling is encouraged. If that kind of technical challenge excites you, I’d love to hear from you.
We’re looking for a Senior Computer Vision Engineer – Algorithms to join our Computer Vision team at Hawk-Eye Innovations.
This role is suited to an experienced engineer who enjoys owning complex algorithmic systems and seeing them operate in real-world, production environments.
The role is strongly algorithm-focused, with an emphasis on accuracy, performance, robustness, and system-level thinking, spanning modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.
Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios
Enhancing and maintaining mature, long-running computer vision systems used in live production
Optimising algorithms for performance and reliability, including CPU and GPU considerations
Contributing to cross-platform systems, ensuring algorithms run consistently across environments
Supporting the integration of algorithms into cloud-enabled and distributed systems
Working in an agile environment to deliver robust, production-ready solutions at scale
Lead the development and improvement of computer vision algorithms from concept through to production
Design, implement, test, and validate complex algorithmic features
Take ownership of algorithmic components and drive their long-term maintainability and technical quality
Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams
Contribute to technical discussions around architecture, performance, scalability, and deployment
Identify weaknesses in existing approaches and propose pragmatic improvements
Share progress, decisions, and learnings with the wider team
Support and mentor other engineers through code reviews and technical guidance
We’re looking for someone with:
Strong commercial experience developing computer vision algorithms
Advanced knowledge of modern C++, working within large, production codebases
Strong understanding of performance optimisation, including CPU and GPU workloads
Solid experience with image processing, geometry, and multi-camera systems
Experience working with cross-platform systems and real-world deployment environments
Familiarity integrating algorithmic components into cloud-based or distributed systems
Strong debugging skills and the ability to reason about complex system behaviour
Confident use of Git and Visual Studio in collaborative engineering environments
Nice to have (but not essential):
Experience with CUDA or GPU acceleration
Awareness of concurrency, networking, or operating system concepts
Experience deploying or supporting algorithms in cloud environments
Interest in machine learning techniques and related libraries
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
Annual leave in line with local labour law
Hybrid working model (2 days per week in the office)
Access to sporting events and tickets
Sony Group Company discounts
Cafeteria benefits include:
SZÉP Card
Nursery & Kindergarten contributions
Annual MOL Bubi Pass
Private medical insurance
Life & accident insurance
MindentMent Dental Clinic discounts
Seniority awards
Employee Assistance Program
As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a diverse and inclusive workforce.
We employ, retain, promote, and treat all employees and applicants fairly, based on skills, qualifications, and professional experience. Our commitment is to provide a respectful and inclusive environment where people can contribute, develop, and succeed.