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Senior Accelerated Computing GPU Product Manager
full-timeSanta Clara$168k - $327k

Summary

Location

Santa Clara

Salary

$168k - $327k

Type

full-time

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About this 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. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. 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.

What you'll be doing:

  • 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:

  • 6+ 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

Ways to stand out from the crowd:

  • Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference

  • Strong background in building or leading cloud computing infrastructure and technologies

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. 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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Other facts

Tech stack
Product Management,AI,GPU,Data Center,Machine Learning,Cloud Computing,Sales,Engineering,Operations,Technical Field,Software Architecture,Computing Architectures,Large Language Models,Problem Solving,Trade-offs

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Computer Hardware Manufacturing
Founding Year: 1993

What you'll do

  • Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models. Work cross-functionally to develop comprehensive product go-to-market plans and product positioning.

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Frequently Asked Questions

What does NVIDIA pay for a Senior Accelerated Computing GPU Product Manager?

NVIDIA offers a competitive compensation package for the Senior Accelerated Computing GPU Product Manager role. The salary range is USD 168k - 328k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Accelerated Computing GPU Product Manager do at NVIDIA?

As a Senior Accelerated Computing GPU Product Manager at NVIDIA, you will: develop a deep understanding of datacenter workloads and applications, especially around Large Language Models. Work cross-functionally to develop comprehensive product go-to-market plans and product positioning..

Why join NVIDIA as a Senior Accelerated Computing GPU Product Manager?

NVIDIA is a leading Computer Hardware Manufacturing company. The Senior Accelerated Computing GPU Product Manager role offers competitive compensation.

Is the Senior Accelerated Computing GPU Product Manager position at NVIDIA remote?

The Senior Accelerated Computing GPU Product Manager position at NVIDIA is based in Santa Clara, California, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Accelerated Computing GPU Product Manager position at NVIDIA?

You can apply for the Senior Accelerated Computing GPU Product Manager position at NVIDIA directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about NVIDIA on their website.