12 часов назад
Senior Computer Vision Architect (C++)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Computer Vision Architect (C++): Defining architecture for multi-camera tracking, automated officiating, and data delivery across sports with an accent on camera calibration, 3D tracking, ML integration, and cross-platform performance. Focus on designing shared frameworks, evaluating AI-assisted development tools, solving high-risk live delivery problems, and guiding computer vision research across cloud, on-premise, and edge deployments.
Location: UK-based or Hungary, with travel; remote
Company
develops tracking and automated officiating technology for sports, including goal-line technology, offside detection, electronic line calling, and automated ball-strike systems.
What you will do
- Define software architecture across tracking, automated officiating, and data delivery products.
- Own technical direction for camera calibration, ball tracking, skeletal tracking, and computer vision research.
- Design architectures for new tracking problems and maintain consistency across sports and shared codebases.
- Research tracking technologies, build prototypes, and guide machine learning integration.
- Lead the evaluation and adoption of AI coding agents, LLM-driven development tools, and automated code generation.
- Coach Squad Tech Leads and junior architects, support hiring, and act as the escalation point for complex live delivery and ML infrastructure issues.
Requirements
- Deep experience with multi-camera computer vision, including camera calibration, triangulation, 3D ball and pose estimation, skeletal tracking, continuous-time modelling, and inverse kinematics.
- Expert cross-platform C++ development on Windows and Linux, x86 and ARM, including CMake and performance profiling.
- Strong working knowledge of GPU inference and ML pipelines, including TensorRT, Triton, PyTorch, and ONNX.
- Experience running tracking systems at scale across AWS, on-premise environments, and edge devices.
- Hands-on experience with AI coding agents, LLM orchestration, generative AI, and synthetic data generation for real-time computer vision.
- Ability to make pragmatic architectural decisions, write clear design documents, communicate with technical and non-technical stakeholders, and assess delivery confidence.
Nice to have
- Experience working with Sony, NVIDIA, AWS, sports leagues, or sports federations.
- Experience with operational ownership of ML training and synthetic data infrastructure.
Culture & Benefits
- Individual contributor role with no direct people-management responsibility.
- Remote work arrangement for candidates based in the UK or Hungary, with travel required.
- Influence across more than 100 engineers in the Tracking and Automated Officiating value stream.
- Opportunity to work across football, baseball, tennis, American football, ice hockey, cricket, basketball, and rugby.
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