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NVIDIA

Designs the chips and software that power AI

Technical Product Marketing MBA Intern - AI Infrastructure

Product MarketingConfirmed live in the last 24 hours
Internship · Summer 2027$38 - $94 /hrIn-person

About the Job

Requirements

  • Pursuing an MBA or a related field, or possessing equivalent experience; graduation timing is winter 2027 or summer 2028.
  • A Bachelor of Science or Master of Science in engineering, computer science, or a related technical field, or equivalent experience.
  • Working knowledge of artificial intelligence and cloud or data center computing, including AI training and inference.
  • Experience producing customer-facing content such as product collateral, web copy, or briefs.
  • Experience analyzing data to support recommendations.
  • Hands-on experience with AI assistants and agentic workflows to accelerate day-to-day work.

Responsibilities

  • Research customer needs, market trends, and competitive offerings across AI infrastructure, training, inference, and accelerated computing.
  • Develop messaging and positioning that connect technical capabilities to customer priorities, including performance, energy efficiency, deployment simplicity, and total cost of ownership.
  • Build marketing content, such as customer stories, presentations, solution briefs, blogs, and sales enablement materials.
  • Work with technical teams to interpret performance data and turn findings into evidence-based value propositions for technical and business audiences.
  • Deliver an internship project with clear objectives, achievements, and outcomes, and present recommendations to collaborators across product management, engineering, sales, and marketing.

Desired Qualifications

  • Background in product marketing, product management, engineering, technical consulting, or enterprise technology.
  • Experience with generative AI, AI agents, inference, accelerated computing, or cloud infrastructure.
  • Experience translating technical capabilities into customer benefits, economic analysis, or differentiated positioning.
  • Contributions to product launches, customer case studies, market research, or sales enablement.
  • Examples of independent ownership, project management, and collaboration across technical and business teams.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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