Senior Computer Vision Engineer

2 months ago

Budapest, HungarySenior

Responsibilities

Design, develop, test, validate, 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
Maintain and enhance mature computer vision systems used in live production
Optimize algorithms for performance and reliability across CPU and GPU workloads
Contribute to cross-platform systems and integration with cloud-enabled distributed systems
Own algorithmic components and drive their long-term maintainability and technical quality
Collaborate with computer vision, tracking, tooling, and platform engineers on architecture, performance, scalability, and deployment
Identify weaknesses in existing approaches and propose pragmatic improvements
Support and mentor engineers through code reviews and technical guidance

Strong commercial experience developing computer vision algorithms
Advanced knowledge of modern C++ in large production codebases
Strong understanding of performance optimization, including CPU and GPU workloads
Experience with image processing, geometry, and multi-camera systems
Experience with cross-platform systems and real-world deployment environments
Familiarity integrating algorithmic components into cloud-based or distributed systems
Strong debugging skills and ability to reason about complex system behavior
Confident use of Git and Visual Studio in collaborative engineering environments
Experience with CUDA or GPU acceleration is desirable
Awareness of concurrency, networking, or operating system concepts is desirable
Experience deploying or supporting algorithms in cloud environments is desirable
Interest in machine learning techniques and related libraries is desirable