Senior Program Manager, Architecture Review Board
NVIDIA is hiring a Senior Program Manager, Architecture Review Board in Singapore, Singapore. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Claude, Gemini and Copilot among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
Lead the AI Factory Architecture Review Board process, managing infrastructure governance, deployment standards, and AI-assisted workflows.
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 see:
Bachelor'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 crowd:
Experience 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.
How we rate this
Senior Program Manager, Architecture Review Board at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where infrastructure was part of your work. What did you do?
- Tell me about a project where governance was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Program Management, Infrastructure, Governance, Stakeholder Management, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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