Program állás, munka

• IT integrációs szolgáltatások kialakítása, módosítása, tesztelése, üzemeltetésre átadása
• Részvétel a rendszerintegrációs feladatok, problémák megoldásában
• Közreműködés a rendszerhibák felderítésében
• Együttműködés az integrációs rendszerszervezőkkel, IA, EA csapattal, illetve külsős fejlesztőkkel

• Szakmai vezetés és döntéshozatal
• A data streaming architektúrával kapcsolatos szakmai döntések meghozatala és képviselete.
• Technikai standard-ok, best practice-ek és a megvalósítás minőségi elveinek kialakítása és fenntartása architektek bevonásával.

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Design and develop interactive 3D, XR, and digital twin applications
• Create immersive visualization experiences for industrial, engineering, facility, and enterprise use cases
• Collaborate with 3D artists, designers, software developers, and engineering teams to build high-quality digital environments

Az Environment Management feladatok tervezése, szervezési gyakorlatának, folyamatainak tervezése, bevezetésének és napi gyakorlatának támogatása...

• AI- és automatizációs lehetőségek feltérképezése, tesztelése és bevezetése.
• Microsoft Copilot, ChatGPT és más AI-eszközök vállalati alkalmazásának támogatása.
• Egyszerűbb automatizációk, integrációk és digitális munkafolyamatok kialakítása.

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery to frontend and downstream consumers
• Own data storage and pipeline architecture including integration with streaming/event infrastructure

• Collaboration with cross-functional teams to design and implement components for systems and tooling platforms
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions

• Rapid prototyping of proof-of-concepts for next-generation sports tech
• R&D exploration of diverse, open-ended technical challenges
• Writing adaptable, efficient, robust, and multithreaded C++ applications
• Field testing of new prototypes in real-world environments

• Collaboration with cross-functional teams to design and implement components for systems and tooling platforms
• Development and maintenance of desktop applications using C++, including backend and business logic as well as front-end user interface development primarily using Qt

• Build-from-zero applications
• Bridge ML and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery

• Development, optimisation, and maintenance of backend services using Java (Spring Boot)
• Contribution to design decisions for new and existing projects
• Deployment and scaling of applications in AWS (ECS, Lambda, S3, DynamoDB, etc.)

• Development and improvement of football ball and player tracking algorithms using multi-camera systems
• Contribution to multi-view geometry solutions for accurate tracking across the field of play
• Support of approaches to handling occlusion and recovery in fast-paced sports scenarios

• Technical leadership in sports broadcasting graphics solutions
• Mentoring junior engineers
• Collaboration with cross-functional teams
• Development and optimisation of AR/VR and backend graphics solutions
• Integration with in-house art assets
• Bug fixing and core functionality implementation

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery of data engineering, ML/MLOps, and cloud migration projects
• Managing and mentoring the data engineering team
• Building and optimizing scalable, high-performance data pipelines

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

• Building and maintaining strong relationships with a portfolio of clients
• Acting as a key point of contact for client requests, questions, and day-to-day communication
• Supporting client meetings, preparing follow-ups, and ensuring agreed actions are tracked and delivered

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• Partnership with Canvas Product and Engineering leaders to set overall strategy for platform experience for Admins and Educators
• Leveraging AI and emerging technologies to create innovative and intuitive product design experiences
• Overseeing a team of designers focusing on the Canvas product space