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NVIDIA

Designs the chips and software that power AI

Product Manager MBA Intern - Enterprise AI

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

About the Job

Requirements

  • Currently pursuing an MBA with relevant experience and graduating in December 2027 or May/June 2028.
  • Have a Bachelor of Science or Master of Science degree in Computer Science or a related engineering field.
  • Have some experience shipping customer-facing or employee-facing products by working with engineers, designers, and data scientists, resulting in significant business impact.
  • Have hands-on product management and related expertise involving artificial intelligence, machine learning, generative artificial intelligence, traditional deep learning, and statistical machine learning.
  • Have strong communication and problem-solving skills.

Responsibilities

  • Collaborate with internal partners to understand and prioritize product requirements.
  • Translate needs into a clear product vision, roadmap, and actionable user stories.
  • Tackle sophisticated technical problems with creative solutions while managing competing tradeoffs.
  • Conduct user research, analyze problems, and present actionable insights to senior leadership.
  • Make compelling, data-based arguments to convince others and generate progress with meaningful results.
  • Bring user-centric perspectives to product discussions and establish and articulate design strategy and the end-to-end product experience.

Desired Qualifications

  • Have an engineering and design background, with the ability to do hands-on prototyping, create product design mock-ups, and vibe code.
  • Thrive in a fast-paced environment, handle ambiguity and multiple priorities, and set clear actionable goals.
  • Demonstrate strong organization and attention to detail when writing product specifications, and have writing skills to publish case studies and papers.
  • Have hands-on expertise and understanding of NVIDIA software strategy and products, and familiarity working with large language models, retrieval-augmented generation, and agentic artificial intelligence.

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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