Senior Computer Vision Engineer

About This Opportunity

Our talent team is representing a confidential sports technology organization in their search for a Senior Computer Vision Engineer. This is a hybrid role based in Budapest, Hungary, requiring a minimum of 2 days per week in the office.

We're seeking an experienced engineer to own complex algorithmic systems focused on real-time skeletal, ball, and game object tracking. This role emphasizes accuracy, performance, robustness, and system-level thinking across modern C++, multi-camera geometry, cross-platform deployments, and cloud-enabled pipelines.

Responsibilities

• Design, develop, and improve ball and player tracking algorithms using multi-camera systems
• Own and evolve multi-view geometry solutions for accurate, court-wide tracking
• Develop robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios
• Enhance and maintain mature, long-running computer vision systems used in live production
• Optimize algorithms for performance and reliability, including CPU and GPU considerations
• Lead the development of computer vision algorithms from concept through to production
• Contribute to cross-platform systems ensuring algorithms run consistently across environments
• Support integration of algorithms into cloud-enabled and distributed systems
• Collaborate closely with engineers across computer vision, tracking, tooling, and platform teams
• Share progress, decisions, and learnings with the wider team
• Support and mentor other engineers through code reviews and technical guidance

What We're Looking For

Required qualifications:

• Strong commercial experience developing computer vision algorithms
• Advanced knowledge of modern C++, working within large, production codebases
• Strong understanding of performance optimization, 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 behavior
• Confident use of Git and Visual Studio in collaborative engineering environments
• Strong background in mathematics and modeling

Preferred qualifications:

• 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

How We Work With You

Candidates interested in this position should apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and qualifications. Once we've confirmed alignment, we'll submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through our talent team to ensure a smooth process.

Benefits

This is a permanent, full-time position offering:

• Annual leave in line with local labor law
• Hybrid working model (2 days per week in the office)
• Access to sporting events and tickets
• Company discounts
• Cafeteria benefits including SZÉP Card, nursery and kindergarten contributions, annual transit pass
• Private medical insurance
• Life and accident insurance
• Dental clinic discounts
• Seniority awards
• Employee Assistance Program

Equal Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We work with clients who value diversity and provide equal employment opportunities to all qualified applicants regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.