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Senior Program Manager, Architecture Review Board

US, CA, Santa Clara; US, TX, Remote; US, CA, Remote
Full Time Remote

Summary

Job Description

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 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 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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