Accelerated Computing GPU Product Manager jobs in United States
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NVIDIA · 4 months ago

Accelerated Computing GPU Product Manager

positionUS, CA, Santa Clara
timeFull-time
remoteOnsite
senioritySenior Level
money$168K/yr - $328K/yr
date7+ years exp

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. They are looking for a highly capable individual to manage GPU product definition for Data Center, focusing on machine learning and AI applications. The role involves understanding datacenter workloads, developing product proposals, and collaborating with various teams to create go-to-market plans.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

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

Qualification

GPU product managementAI applications developmentCloud computing infrastructureDatacenter workloads knowledgeSoftware architecture knowledgeDesire to learnProblem-solving skillsCross-functional collaboration

Required

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. MBA a plus
Demonstrated ability to fully contribute in one or more of the areas above within 3 months
Knowledge of, and capable of explaining GPU, software and computing architectures
Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Ability to work closely with cloud partners

Preferred

Strong background in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference
Direct experience in building or leading cloud computing infrastructure and technologies
Exposure to bringing accelerated computing systems to market

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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