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Product Management MBA Intern

NVIDIASanta Clara, CAPosted Just now

Pay
$38 – $94
per hour
Type
Internship
Summer 2027
Where
Santa Clara, CA
Who
Master's
Students
Apply by
Oct 17, 2026
Date from the posting

Product Management MBA Intern, Data Center GPU

NVIDIA has spent more than 25 years transforming computer graphics, PC gaming, and accelerated computing. That legacy is driven by strong technology and talented people. Today, we are using the potential of AI to define the next era of computing, where our GPU serves as the brain of computers, robots, and self-driving cars that can understand the world. Work here means a diverse, supportive environment where people do their best work.

The Local AI and Data Center Product Management team defines and markets AI systems for enterprises and cloud service providers. Their work supports AI applications across autonomous vehicles, healthcare, virtual reality, and visual computing.

What you will be doing

  • Research emerging markets and use cases for GPU deployments in specific industry verticals
  • Analyze market segmentation, sizing, solution stacks, key players, and ecosystems
  • Evaluate the system configurations customers deploy
  • Build market and solution pricing and value analyses

NVIDIA is widely regarded as one of the most desirable employers in the technology world. We employ some of the most forward-thinking and hardworking people anywhere. If you are creative and autonomous, we want to hear from you.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We value diversity among current and future employees and do not discriminate in hiring or promotion 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.

Skills mentioned

  • Python
  • Excel
  • Quantitative Modeling
  • GPU Computing
  • AI Systems
  • Pricing Analysis

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