Why This Role Stands Out
This hybrid role offers an exceptional opportunity to advance your computer vision expertise by developing cutting-edge algorithms for elite sports technology, with a highly competitive monthly salary. You'll thrive here if you possess strong academic or early commercial experience and are passionate about solving complex tracking and performance challenges within a renowned company. Apply now to contribute to groundbreaking innovations in live sporting environments!
Quick Overview
Job Description
Computer Vision Engineer – Algorithms
Value Stream - Tracking & Auto Officiating
Join Our Team at Hawk-Eye Innovations
Location: Hybrid working – minimum 2 days per week in the office
Office locations: Budapest, Váci út 144-150, 1138 Hungary
Contract: Permanent, Full-Time
About the Role
Hi, I’m Thomas Rychlik, Discipline Lead for Computer Vision Algorithms at Hawk-Eye Innovations. I’m looking for a Computer Vision Engineer – Algorithms to join our Computer Vision team. This role is ideal for someone with early commercial or strong academic experience in computer vision who wants to continue developing their algorithmic skills while working on real-world, production-grade sports technology.
You’ll be working on elite-level tracking systems across sports such as football and tennis, contributing directly to the development and improvement of core computer vision algorithms used in live sporting environments. The role is strongly algorithm-focused, with an emphasis on problem solving, performance, and accuracy.
What You’ll Work On
Developing and improving football ball and player tracking algorithms using multi-camera systems
Contributing to multi-view geometry solutions for accurate tracking across the field of play
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
Key Responsibilities
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
Skills, Knowledge and Experience
We’re looking for someone with:
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
Nice to have (but not essential):
Exposure to CUDA or GPU acceleration
Awareness of concurrency, networking or operating system concepts
Interest in machine learning and related libraries
Reward, Benefits and Wellness
UK Benefits
25 days annual leave (excluding bank holidays)
Enhanced pension scheme with 5% matching
Hybrid working model
Complimentary Unmind wellbeing app
Onsite gym (Basingstoke)
Access to sporting events and tickets
Sony Group Company discounts
Hungary Benefits
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
SZÉP Card
Nursery & Kindergarten contributions
Annual MOL Bubi Pass
Private medical insurance
Life & accident insurance
MindentMent Dental Clinic discounts
Seniority awards
Employee Assistance Program
Equal Opportunity and Inclusion
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.
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