Software Architect – Tracking
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Job Description
Software Architect leading computer vision tracking architecture for Hawk-Eye Innovations. Guiding C++, ML and multi-camera systems powering automated sports officiating worldwide.
Responsibilities:
- Own software-level architectural design across tracking, auto-officiating and data delivery
- Set initial architecture for new tracking problems
- Run the Software Domain Owner model and maintain named codeowners for shared libraries
- Keep designs consistent across sports
- Represent tracking in the Engineering Architecture Steering group and contribute to architecture discussions across Hawk-Eye and Sony Sports
- Decide when to reuse common tracking code and when to diverge
- Lead computer vision direction across camera calibration, ball tracking, skeletal tracking and related R&D
- Research and introduce new tracking technologies
- Build prototypes to validate proposals
- Lead adoption and evaluation of agentic coding frameworks, LLM-driven development tools and automated code generation in C++ and Python codebases
- Coach Squad Tech Leads and guide junior architects
- Run CV Algorithm talks, HawkTalks and tutorials
- Support hiring, including technical assessment for CV and ML roles
- Own the operational health of ML training and synthetic data infrastructure
- Escalate ownership and support gaps with options attached
- Act as the technical escalation point and contribute code when live delivery is at risk
Requirements:
- Deep multi-camera computer vision expertise
- Camera calibration expertise, including intrinsics, extrinsics, distortion models, anti-wobble and bundle adjustment
- Knowledge of 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
- Experience with CMake and real performance profiling
- Strong working knowledge of GPU inference, including TensorRT and Triton
- Strong working knowledge of ML pipelines, including PyTorch and 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 in large codebases
- Working understanding of generative AI and synthetic data generation for real-time computer vision
- Ability to set architecture across many squads and sports and make pragmatic decisions about reuse, cost and time to market
- Ability to write design documents, proposals with options and explanations for non-technical stakeholders
- Comfortable working with external engineering partners, including Sony, NVIDIA and AWS, as well as sports leagues and federations
- Ability to size work honestly, state confidence and recommend what to stop or delay
Benefits:
- Travel associated with the role
- Opportunities to work with Sony, NVIDIA, AWS, sports leagues and federations
- Coaching, mentoring and professional development through CV Algorithm talks, HawkTalks and tutorials
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