Nvidia

Nvidia

Accelerated Computing GPU Product Manager

US, CA, Santa Clara · Senior

Sponsorship not specifiedDetected 4 days ago
Machine LearningLLMs

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 843 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card intent detected

NVIDIA Corporation obtained a prevailing wage determination for Software Developers in Santa Clara, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 92%

Of 382 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • NVIDIA has been redefining 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!
  • Today, we're tapping into the unlimited potential of AI to define the next era of computing.

Responsibilities

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 7+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field.
  • Ability to work closely with cloud partners Ways to stand out from the crowd:

Compensation

  • As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 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 208,000 USD - 327,750 USD for Level 5.

Benefits

  • Doing what's never been done before takes vision, innovation, and the world's best talent.
  • NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing.
  • You will also be eligible for equity and benefits.

Company info

  • We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center.
  • We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets.

Equal opportunity

  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.