Senior Software Architect - Tracking

This is the senior computer vision engineering authority for Hawk-Eye's tracking technology, an individual contributor role. The role carries two hats: as Software Architect, owning software-level architectural design across tracking, auto-officiating and data delivery; and as computer vision authority, leading core domains including camera calibration, ball tracking, skeletal tracking and related R&D. The tracking technology underpins products such as goal-line technology, semi-automated offside, electronic line calling and automated ball-strike, across multiple sports and deployment environments.

• Lead architecture for every tracking and auto-officiating product in the Tracking and Automated Officiating value stream.
• Set initial architecture when a new tracking problem enters the business, run the Software Domain Owner model so shared libraries such as calibration have named codeowners, and keep designs consistent across sports.
• Represent tracking in the Engineering Architecture Steering group and contribute to architecture conversations across Hawk-Eye and the wider Sony Sports organisation.
• Make pragmatic judgements about reuse, including where a common tracking codebase pays off and where it does not.
• Act as subject matter authority for computer vision, deciding where vision processing and ML integration goes next.
• Research new tracking technologies, bring them in, and build prototypes when a proposal needs proving.
• Lead adoption of modern tooling, including agentic coding frameworks, LLM-driven development tools and automated code generation in heavy C++ and Python codebases, and decide what earns its place.
• Coach Squad Tech Leads, guide junior architects, run CV Algorithm talks, HawkTalks and tutorials, and help hire well including technical assessment for CV and ML roles.
• Own the operational health of ML training and synthetic data infrastructure, including escalating gaps in ownership and support with options attached.
• Serve as escalation point and get into the code when a live delivery is at risk.

• Deep multi-camera computer vision expertise.
• Camera calibration including intrinsics, extrinsics, distortion models, anti-wobble and bundle adjustment.
• Triangulation.
• 3D ball and pose estimation, skeletal tracking, continuous-time modelling and inverse kinematics.
• Expert cross-platform C++ across Windows and Linux, x86 and ARM, with CMake and real performance profiling ability.
• Strong working knowledge of GPU inference (TensorRT, Triton) and ML pipelines (PyTorch, ONNX).
• Proven experience running tracking at scale in AWS, on-premise and on edge devices.
• Hands-on use of AI coding agents and LLM orchestration to accelerate algorithm R&D and refactoring in large codebases.
• Working understanding of generative AI, synthetic data generation and where they genuinely help real-time CV.
• Ability to set architecture across many squads and sports and make pragmatic calls on reuse, cost and time to market.
• Ability to write clearly, including design documents, proposals with options, and explanations a non-technical stakeholder can follow.
• Comfortable working in front of external engineering partners, including Sony, NVIDIA and AWS alongside sports leagues and federations.
• Ability to size work honestly, state confidence in it, and say what should be stopped or delayed.