For more than 25 years, NVIDIA has helped build visual computing, personal computer gaming, and high-performance computing. This tradition of innovation is powered by outstanding technology and remarkable people.

Today, we are harnessing AI to build the next generation of computing. Our GPUs act as the intelligence behind computers, robots, and autonomous vehicles capable of perceiving the world. Work at this scale takes vision, innovation, and world-class talent. Being part of NVIDIA means joining an inclusive, encouraging atmosphere where people can do their best work.

Join us and explore how you can make a meaningful difference in the world. In this APAC role, you will lead the AI Factory Architecture Review Board process that helps turn complex customer infrastructure designs into validated, deployment-ready solutions.

What You Will Be Doing

Own and lead the APAC AI Factory ARB process end to end, from initial intake through operations and pre-deployment handoff.

Lead architecture governance, assessments of deployment preparedness, and the validation and sign-off activities for complex AI Factory deployments.

Coordinate account teams, solution architects, NVIDIA infrastructure specialists, engineering, networking, storage, security, facilities, operations, OEM partners, and NVIDIA Cloud Partner teams.

Manage ARB schedules, agendas, decision logs, action owners, risk tracking, blocking issues, and executive reporting.

Set and maintain deployment gates, design checkpoints, exception handling, and sign-off processes aligned to NVIDIA Reference Architectures, Reference Designs, and deployment standards.

Review ARB submissions, classify requests by review path, prepare teams for timely decisions, and maintain clear documentation in shared workspaces.

Coordinate remediation and exception paths for designs that do not meet Reference Architecture or Reference Design criteria, including approval tracking and follow-through on blocking issues.

Improve ARB templates, tools, documentation, reporting, automation, and AI-assisted workflow agents; partner with global teams to scale ARB governance across regions and partners.

What We Need To SeeBachelor's degree in engineering, computer science, business, operations, or a related field, or equivalent experience.5+ years of program or project management experience in large-scale infrastructure, cloud, networking, data center, hardware, or AI Factory deployment environments.

Experience coordinating architecture reviews, governance boards, technical approval processes, or deployment readiness reviews.

Working understanding of AI infrastructure, GPU clusters, networking, storage, data center operations, deployment readiness, and technical validation processes.

Experience using Jira or similar tools for agile execution, risk management, dependency tracking, and deployment lifecycle management.

Ability to lead multi-functional programs across technical, commercial, operations, and partner teams through clear ownership and follow-through.

Clear written and verbal communication skills, including experience preparing executive updates and translating technical risks into business impact.

Ways To Stand Out From The CrowdExperience with GPU-accelerated computing, AI infrastructure, HPC, DGX SuperPOD, OEM, NVIDIA Cloud Partner, or enterprise data center environments.

Familiarity with NVIDIA Reference Architecture and Reference Design compliance, customer infrastructure validation, or pre-deployment handoff processes.

Experience with Salesforce and Wrike for pipeline tracking, data quality, dashboards, reporting, or workflow automation.PMP, PgMP, Agile, Scrum, or equivalent program management certification or experience improving global governance processes.

Use of reporting, analytics, automation, or AI tools such as Sheets, Copilot, Claude, Gemini, or Perplexity to improve program transparency and execution., , JR2018711