NVIDIA Logo

NVIDIA

Senior NPI Program Manager

Reposted 10 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
168K-259K Annually
Senior level
In-Office
Santa Clara, CA, USA
168K-259K Annually
Senior level
Lead manufacturing support for data center AI accelerator boards, coordinate engineering, diagnostics, supply chain, and factory handover for NPI to mass production. Drive risk mitigation, process improvements, customer qualifications, budget tracking, and cross-functional alignment to ensure production ramp and issue resolution.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Lead the manufacturing support for Data Center AI accelerator boards, solving complex problems. Assist in delivering advanced AI accelerators across various industries in collaboration with Operations Program Managers.

What you'll be doing:

  • Planning, coordinating, and tracking manufacturing progress to the stated program  goals.

  • Collaborating with Engineering and Diagnostics teams to coordinate product Firmware and test diagnostics upgrades.

  • Coordinating and managing customer qualifications where significant product changes are necessary, in collaboration with customer PMs and engineering.

  • Devise and implement an NPI handover strategy for ramping new designs into mass production, in close consultation with NPI OPMs and Product Development Engineering.

  • Using strong communication and influencing skills to drive regular alignment and succinct updates to the factory network.

  • Ensuring continuous alignment between the factory and key collaborators on production execution strategy and engineering work progress.

  • Leading and coordinating teams, materials, and resources to proactively minimize production risks and swiftly resolve day-to-day issues.

  • Driving systemic process improvement, owning technology issue resolution, and developing risk mitigation strategies with the Platform Design Engineering teams.

  • Coordinating the supply chain and manufacturing plan of record for revenue products.

  • Maintaining project budgets and tracking procurement and delivery of bring-up hardware to facilitate the engineering teams.

What we need to see:

  • BS degree or equivalent experience in Electrical or Mechanical Engineering preferred.

  • 8+ years of experience in program management/production within the server industry.

  • Leadership – ability to influence and drive the correct behaviors, negotiate your position, and make and defend solid data-driven decisions.

  • Excellent communication skills, with the ability to detail and clearly articulate the status and final project deliveries at all levels of the organization.

  • Prior work involvement in technical program, project, or product management position within the server domain is favored.

  • Pragmatic problem-solving skills, comfortable with making informed decisions or escalating, as necessary.

  • Fast issue resolution through out-of-the-box thinking.

  • Ability to thrive and adapt in a fast-paced environment.

Ways to stand out from the crowd:

  • Project Management Professional Certification a plus.

  • Technical depth in hardware and software development techniques.

  • In-depth knowledge of factory production techniques and test strategies.

  • Direct experience delivering complex products to cloud-based customers.

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 September 14, 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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

6 Days Ago
In-Office
Sunnyvale, CA, USA
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Own infrastructure capacity planning for hardware New Product Introduction programs. Track power, cooling, network, and space roadmaps; determine hardware ordering cutovers; communicate scope and BOM requirements; and drive cross-functional readiness across Capacity, Supply Chain, Construction, Design, and Engineering. Translate new GPU, CPU, liquid-cooling, and rack hardware requirements into scalable data center designs, manage milestones and risks, support lifecycle transitions, and ensure infrastructure is ready for deployment.
Top Skills: Coolant Distribution Units (Cdus)Cooling InfrastructureCpusData Center InfrastructureDcim PlatformsGpusLiquid CoolingNetwork InfrastructurePower Infrastructure
15 Days Ago
In-Office
Santa Clara, CA, USA
168K-322K Annually
Senior level
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead Operations New Product Introduction activities from semiconductor tape-out through production release. Manage schedules, milestones, risks, dependencies, qualification plans, wafer and hardware risks, sample supply, production ramp metrics, budgets, and cross-functional communications. Partner with ASIC, product, test, systems, software, planning, logistics, quality, and engineering teams to resolve issues, improve NPI processes, and ensure production readiness.
Top Skills: AsicNpi Planning ToolsSemiconductor ManufacturingSilicon Bring-UpSupply Chain Processes
20 Days Ago
In-Office
Santa Clara, CA, USA
116K-160K Annually
Senior level
116K-160K Annually
Senior level
Artificial Intelligence • Semiconductor • Manufacturing
Leads new product introduction supply chain programs from planning through implementation. Develops project plans, manages schedules, budgets, resources, purchase requisitions, and orders. Coordinates cross-functional engineering, business, vendor, and customer teams worldwide to deliver equipment on time and within budget. Provides process expertise, resolves project risks and complications, communicates status, and supports product release and deployment.
Top Skills: Project Management ToolsProject Scheduling Software

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account