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Nvidia10K+ employees

Senior Datacenter Technical Program Manager, At-Scale AI Clusters

CA · Remote — USSalary not listedPosted 12 days ago

Immigration summary

Visa sponsorship

Highly likelyHigh confidence

This employer sponsors this kind of work repeatedly, and is still filing this year.

2,042 recent H-1B filings · 54 similar-role filings

View visa evidence

Green card sponsorship

Strong historyHigh confidence

This employer has recently sponsored green cards at scale.

443 recent certified PERM filings · 11 similar-role filings

View green card evidence

Job description

NVIDIA is looking for a highly-motivated Technical Program Manager (TPM) to join our Applied Systems Engineering Team to drive datacenter integration for the next generation of NVIDIA AI supercomputing systems. This TPM will play a crucial role throughout the lifecycle of the latest AI systems at scale, from datacenter design and requirements definition, through systems integration of AI clusters into the datacenter environment, and support for these systems as they enter production.

This role will drive collaboration between engineering leaders across multiple hardware and software teams, helping us work together to build AI supercomputers for NVIDIA engineers and develop reference architectures to advise customers and partners.

What you’ll be doing:

  • Collaborate with outstanding engineers and architects to build and deploy large scale GPU computing systems based on NVIDIA's reference supercomputing architectures

  • Lead the integration of new AI clusters with datacenter facilities with demanding requirements on power, cooling, and instrumentation

  • Coordinate design and fit-out of new datacenter builds, working with both internal engineering teams and external contractors

  • Own and produce detailed documentation for the end-to-end process for datacenter fit-out and integration

  • Communicate internally with engineering leadership to prioritize and address key issues essential to the success of our largest customers

What we need to see:

  • BS in Applied Science or Engineering (or equivalent experience)

  • 8+ years of overall experience

  • Experience with high-performance computing systems and GPU clusters deployed in on-premises datacenters

  • A passion for understanding challenging technical problems and driving the process of finding a solution

  • Strong teamwork and interpersonal skills, to facilitate building a collaborative workflow for coordination between many teams

Ways to stand out from the crowd:

  • Understanding of datacenter design, including familiarity with power and cooling technologies

  • Expertise in system monitoring and instrumentation of large clusters, using technologies such as Prometheus, Grafana, Splunk, Modbus, and BACNet

  • Experience working with the engineering or academic research community supporting high-performance computing or deep learning

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 for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 18, 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.

Sponsorship evidence

Why Openbound reached the conclusions above.

Visa sponsorship evidence

Current posting

Silent on sponsorship

Employer H-1B history

2,042
recent certified H-1B filings
1,364
new-hire petitions
54
filings for similar roles
2,424
so far in FY2026

Filed titles like this role: program manager · technical program manager · program manager technical

More evidence details
  • 54 certified H-1B filings for this same role, 1,364 new-hire petitions across the employer, and 1,304 new hires already this year
  • 54 certified H-1B filings for this same role
  • 2,042 recent certified H-1B filings across the employer
  • Still filing this year — 2,424 filings in FY2026
  • 554 USCIS H-1B new-employment approvals, counted separately from LCA filings
  • Strong filing activity in CA
  • 1,987 further USCIS approvals for extensions or transfers
  • The posting says nothing about sponsorship either way

Strong filing activity in CA.

Green card sponsorship evidence

Employer PERM history

443
recent certified PERM filings
11
filings for similar roles
384
filings in this location
Certified PERM filings by fiscal year
2023362
2024280
2025573
2026722YTD

Filing history reflects past employer behavior; it isn't a promise for this opening.

All open roles at Nvidia
How Openbound evaluates sponsorship

Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 467 filing titles were examined for this employer.

What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.