Product Management MBA Intern, Data Center GPU - Summer 2027

NVIDIA
Santa Clara
Workplace: OnsiteInternshipUSD 38 - 94 hourlyFunction: Communications, PR & CommunityEducation: mastersSkills: ["Creative","Autonomous","Complex-problem solving"]

Join NVIDIA’s Local AI and Data Center Product Management team to research emerging GPU markets, analyze segmentation and solution ecosystems, and evaluate customer system configurations. You’ll build market and solution pricing/value analyses, using quantitative models and working comfortably with large data sets. The role is aimed at an MBA candidate graduating in winter or summer 2028, with coursework or projects in market research, sizing, and segmentation.

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FursaFursa
NVIDIA
NVIDIA
2 hours ago

Product Management MBA Intern, Data Center GPU - Summer 2027

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Job Summary

Join NVIDIA’s Local AI and Data Center Product Management team to research emerging GPU markets, analyze segmentation and solution ecosystems, and evaluate customer system configurations. You’ll build market and solution pricing/value analyses, using quantitative models and working comfortably with large data sets. The role is aimed at an MBA candidate graduating in winter or summer 2028, with coursework or projects in market research, sizing, and segmentation.
Location: Santa Clara
Workplace: Onsite
Employment Type: Internship
Job Function: Communications, PR & Community
Seniority: Intern level

Key Responsibilities

  • •Research emerging markets and use cases for GPU deployments in industry verticals.
  • •Analyze market segmentation, sizing, solution stacks, key players, and ecosystems.
  • •Evaluate system configurations customers deploy.
  • •Build market and solution pricing and value analyses.
  • •Support enterprise/cloud AI application product planning and marketing.

Pay and Benefits

Salary: USD 38 - 94 hourly

Key Requirements

  • •Pursuing an MBA in a relevant field or equivalent program (graduating in winter or summer 2028).
  • •Coursework or project experience in market research, market sizing, or segmentation.
  • •Working knowledge of technology (math, science, or engineering background).
  • •Experience building quantitative models or pricing analyses.
  • •Interested in emerging technology markets and products.
Experience:Market researchPricing analysisAIGPU deployments
Education:Master's
Skills:CreativeAutonomousComplex-problem solving
Tech Stack:AIAgents

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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