Állás részletei
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Cég neve
Hawk-Eye Innovations Ltd.
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Munkavégzés helye
Országos lefedettség -
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- AWS C++ WINDOWS LINUX R
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Elvárások
- Angol középfok
- Nem kell tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
A hirdetés adatait sikeresen elküldte az email címére.
Hasonló állásokról értesítőt állítottunk be!
Válogatást küldünk a hasonló lehetőségekről e-mailben, és app felhasználóinknak push értesítésben is.
Állás leírása
Responsibilities
- Architectural design across tracking, auto-officiating and data delivery
- Ownership of software-level architectural design for tracking products
- Setting initial architecture for new tracking problems
- Running the Software Domain Owner model for shared libraries
- Maintaining design consistency across sports
- Representing tracking in the Engineering Architecture Steering group
- Leading computer vision direction including camera calibration, ball tracking, skeletal tracking and R&D
- Researching new tracking technologies and building prototypes
- Leading adoption of modern tooling including agentic coding frameworks and LLM-driven development tools
- Coaching Squad Tech Leads and guiding junior architects
- Running CV Algorithm talks, HawkTalks and tutorials
- Helping with technical assessment for CV and ML roles
- Managing operational health of ML training and synthetic data infrastructure
- Escalating gaps in ownership and support with options attached
Requirements
- Deep multi-camera computer vision expertise including camera calibration, intrinsics, extrinsics, distortion models, anti-wobble and bundle adjustment
- Expertise in triangulation, 3D ball and pose estimation, skeletal tracking, continuous-time modelling and inverse kinematics
- Expert cross-platform C++ skills across Windows and Linux, x86 and ARM
- Experience with CMake and real performance profiling
- 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 and synthetic data generation for real-time computer vision
- Ability to set architecture across multiple squads and sports with pragmatic calls on reuse, cost and time to market
- Clear writing skills for design documents, proposals and explanations for non-technical stakeholders
- Comfortable engagement with external engineering partners including Sony, NVIDIA and AWS
- Honest sizing of work and ability to state confidence and priorities
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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