Senior Software Architect - Tracking

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Hungary
Remote
Senior level
Artificial Intelligence • Sports
The Role
Owns software architecture and computer vision direction for Hawk-Eye’s tracking and automated officiating systems. Leads camera calibration, ball and skeletal tracking, ML integration, and R&D across sports and deployment environments. Evaluates modern AI development tooling, oversees ML training and synthetic data infrastructure, mentors technical leaders, supports hiring, and serves as an escalation point for high-risk live delivery issues. The role is an individual contributor focused on technical authority rather than people, project, or product management.
Summary Generated by Built In

This is the senior computer vision engineering authority for Hawk-Eye's tracking technology, and it is an individual contributor role.

Our tracking sits underneath almost everything Hawk-Eye sells. Goal-line technology, semi-automated offside, electronic line calling, automated ball-strike. Live and post-game data. It runs across football, baseball, tennis, American football, ice hockey, cricket, basketball and rugby, on-premise, in the cloud and increasingly on edge devices, delivered by over 100 engineers in the Tracking and Automated Officiating value stream.

You would be the person who decides how that is built. The role carries two hats. As Software Architect you own the software-level architectural design across tracking, auto-officiating and data delivery. As computer vision authority you lead the core domains: camera calibration, ball tracking, skeletal tracking, and the R&D that feeds them.

It is a hands-on job. You set architecture for new tracking problems as they arrive, you safeguard the shared frameworks, and when a live delivery is at risk you are the escalation point who gets into the code.

What you would own

Architecture across the value stream. You are the lead architect for every tracking and auto-officiating product in T&AO. You set the initial architecture when a new tracking problem enters the business, run the Software Domain Owner model so shared libraries like calibration have named codeowners, and keep designs consistent across sports. You represent tracking in the Engineering Architecture Steering group and feed into architecture conversations across Hawk-Eye and the wider Sony Sports organisation.

Part of that is judgement about reuse. Keeping value streams on a common tracking codebase pays off until it doesn't, and knowing where that line sits is the job.

Computer vision direction. You are the subject matter authority. You decide where our vision processing and ML integration goes next, research new tracking technologies and bring them in, and build prototypes when a proposal needs proving rather than describing.

Modern tooling, properly evaluated. We want agentic coding frameworks, LLM-driven development tools and automated code generation working inside heavy C++ and Python codebases, with guidelines that hold up. You would lead that adoption and decide what earns its place.

Growing other engineers. You coach the Squad Tech Leads, guide junior architects, and run CV Algorithm talks, HawkTalks and tutorials. You also help us hire well, including technical assessment for CV and ML roles.

The awkward bits. Operational health of ML training and synthetic data infrastructure sits with you, including escalating the gaps in ownership and support with options attached.

What we are looking for

The core of it is deep multi-camera computer vision. Camera calibration including intrinsics, extrinsics, distortion models, anti-wobble and bundle adjustment. Triangulation. 3D ball and pose estimation, skeletal tracking, continuous-time modelling, inverse kinematics.

On top of that:

  • 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

  • A working understanding of generative AI, synthetic data generation and where they genuinely help real-time CV

The parts that are harder to put in a bullet point. You can set architecture across many squads and sports and make pragmatic calls on reuse, cost and time to market. You write clearly: design documents, proposals with options, explanations a non-technical stakeholder can follow. You are comfortable in front of external engineering partners, which here means Sony, NVIDIA and AWS alongside sports leagues and federations. And you can size work honestly, state your confidence in it, and say what we should stop or delay.

What this role is not

Worth being direct about, because senior CV engineers are usually offered the other thing.

This is not a people management role. Nobody reports to you. Line management sits elsewhere and we are not planning to move it.

It is not project or delivery management either. Delivery Leads coordinate squad delivery across T&AO. You own technical direction and escalation, not sprint management.

You are not a Product Owner. Product sets the market and problem priorities, you work with them to define the solution.

You are not a Squad Tech Lead. Day-to-day technical leadership of squads sits with the Squad Tech Leads and Engineering Leads. You mentor them and step in on the complex and high-risk problems.

And you are not a gatekeeper for other value streams. You give them alignment and access to shared tracking IP. You do not own their roadmaps.

Skills Required

  • Deep multi-camera computer vision experience
  • Expertise in camera calibration, including intrinsics, extrinsics, distortion models, anti-wobble, and bundle adjustment
  • Experience with triangulation, 3D ball and pose estimation, skeletal tracking, continuous-time modelling, and inverse kinematics
  • Expert cross-platform C++ development across Windows and Linux, x86 and ARM
  • Experience with CMake and performance profiling
  • Strong working knowledge of GPU inference using TensorRT and Triton
  • Strong working knowledge of ML pipelines using PyTorch and ONNX
  • Proven experience running tracking systems at scale in AWS, on-premise, and on edge devices
  • Hands-on experience with AI coding agents and LLM orchestration
  • Working understanding of generative AI and synthetic data generation for real-time computer vision
  • Ability to set architecture across multiple squads and sports and make pragmatic reuse, cost, and time-to-market decisions
  • Strong technical writing and communication skills for design documents, proposals, and non-technical stakeholders
  • Comfort working with external engineering partners, sports leagues, and federations
  • Ability to estimate work, communicate confidence, and recommend stopping or delaying work when appropriate
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Basingstoke and Deane
Year Founded: 1999

What We Do

Recognised as a global leader in the live sports arena, pioneering change across Broadcast Production, Officiating and Performance through cutting-edge technology. ​ Hawk-Eye delivers best-in-class technology to rights holders, officials, broadcasters, and more across the full video and data value-chain, constantly supporting the growth of sport through technology- from the field to the fan.

Similar Jobs

Pfizer Logo Pfizer

Director, HTA, Value & Evidence (HV&E) - Rare Disease

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
30 Locations
121990 Employees
177K-294K Annually

Pfizer Logo Pfizer

Clinical Assay Lead, Manager (Contractor), Shanghai or Beijing

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office or Remote
3 Locations
121990 Employees

Circle (circle.so) Logo Circle (circle.so)

Growth Lead, Marketplace

Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Remote
54 Locations
250 Employees
147K-160K Annually

Pfizer Logo Pfizer

Product Engineer

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Remote or Hybrid
28 Locations
121990 Employees

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
65 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account