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NVIDIA

Designs the chips and software that power AI

Product Management MBA Intern - Multiple Teams

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

About the Job

Requirements

  • The candidate must be pursuing an MBA in product management or an equivalent program area and be graduating in winter 2027 or summer 2028.
  • Experience managing multiple projects to deadline is required.
  • Experience producing customer-facing materials such as product positioning, presentations, or sales collateral is required.
  • Working knowledge of PC hardware, graphics, or artificial intelligence technologies is required.
  • Hands-on experience with AI assistants and agentic workflows to accelerate day-to-day work is required.

Responsibilities

  • Conduct market research and competitive analysis to understand use cases and workflows.
  • Drive hardware and software product requirements and roadmap priorities for next-generation graphics cards, laptops, and software products.
  • Develop product strategy, go-to-market plans, and subject matter expertise on GeForce product use cases.
  • Create product positioning, presentations, and sales tools.
  • Build partnerships, tools, and programs that support the gaming, creator, and PC application developer ecosystem.

Desired Qualifications

  • Passion for gaming, content creation, or AI technology.
  • Background in engineering, computer science, or another technical field.
  • Experience driving complex projects or initiatives end-to-end.
  • Data analysis and programming skills.
  • Experience as a competitive gamer, livestreamer, content creator, or PC app developer.

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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