Senior Software Architect - Tracking

Cég neve

Hawk-Eye Innovations Ltd.
Munkavégzés helye

Országos lefedettség
Profession Prémium

Nézd meg, mennyire felelsz meg ennek az állásnak. Mennyire passzolok?

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- AWS C++ WINDOWS LINUX R
Biztosított eszközök
- Windows
- Linux
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

Owning architecture across the value stream for every tracking and auto-officiating product in T&AO
Setting the initial architecture when a new tracking problem enters the business
Running the Software Domain Owner model so shared libraries like calibration have named codeowners
Keeping designs consistent across sports
Representing tracking in the Engineering Architecture Steering group and feeding into architecture conversations across Hawk-Eye and the wider Sony Sports organisation
Making judgement about reuse and knowing where the line sits between common tracking codebase and separate solutions
Leading computer vision direction as the subject matter authority
Deciding where vision processing and ML integration goes next
Researching new tracking technologies and bringing them in
Building prototypes when a proposal needs proving rather than describing
Leading adoption and deciding what modern tooling, agentic coding frameworks, LLM-driven development tools and automated code generation earn their place
Coaching the Squad Tech Leads, guiding junior architects, and running CV Algorithm talks, HawkTalks and tutorials
Helping hire well, including technical assessment for CV and ML roles
Managing operational health of ML training and synthetic data infrastructure including escalating gaps in ownership and support with options attached

Deep multi-camera computer vision knowledge including camera calibration with intrinsics, extrinsics, distortion models, anti-wobble and bundle adjustment
Expertise in triangulation, 3D ball and pose estimation, skeletal tracking, continuous-time modelling, inverse kinematics
Expert cross-platform C++ skills 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 their genuine help in real-time computer vision
Ability to set architecture across many squads and sports and make pragmatic calls on reuse, cost and time to market
Clear writing skills for design documents, proposals with options, and explanations for non-technical stakeholders
Comfortable interaction with external engineering partners including Sony, NVIDIA and AWS alongside sports leagues and federations
Ability to size work honestly, state confidence, and recommend what to stop or delay