Establish Standards: Define deployment patterns, build tooling, and set engineering standards that reduce technical debt and speed up future execution across the team.
Work with customers navigating complex multi-tower transformations: legacy application modernization, commercial software-to-open-source transitions, VMware exits, and large-scale data center consolidations.
Partner closely with Product, Lifecycle, Analytics, Data Science, and Data Engineering to translate growth opportunities into scalable strategies, capabilities, and experiences.
Able to analyse System/Subsystem technical and functional issues, ensuring they are identified early, captured fully and logged according to internal processes.
Collaborate with business stakeholders, data scientists and data analysts to align logics of key metrics, and to ensure code logics correctly reflect latest business definitions
Able to analyse System/Subsystem technical and functional issues, ensuring they are identified early, captured fully and logged according to internal processes.
Codify and share: Turn working solutions into reusable tools, playbooks and building blocks, and share field feedback that helps improve model and product performance.
For inference track, develop the Volcano Ark MaaS (Model-as-a-Service) inference platform, optimizing the performance, cost efficiency, and reliability of large language model inference across hyperscale heterogeneous GPU clusters.