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NVIDIA

Product Manager MBA Intern, Enterprise AI - Summer 2027

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay $95K - 155K a year · our estimate

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Description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science.

Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! We are hiring a Product Management MBA Intern for NVIDIA IT to build the next generation of Agentic AI Products and Platforms that would be central to the way NVIDIA adopts AI internally, improves productivity, and accelerates business outcomes.

What You Will Be Doing:

Collaborate with internal partners to understand and prioritize product requirements.

Translate needs into 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.

Conduct compelling, data-based arguments to convince others and generate progress with meaningful results.

Bring user-centric perspectives to discussions about product, establish and articulate design strategy and end-to-end product experience.

What We Need To See:

Currently pursuing an MBA with relevant experience and graduating in December 2027 or May/June 2028.

BS or MS degree in Computer Science or a related engineering field.

Some experience shipping either customer facing or employee facing products by working with engineers, designers, and data scientists resulting in significant business impact.

Demonstrated hands-on product management and related expertise involving AI, Machine Learning, generative AI, traditional deep learning, and statistical machine learning.

Outstanding communication skills, and excellent problem-solving skills.

Ways To Stand Out From The Crowd:

Engineering and design background with the ability to do hands on prototyping, create product design mock-ups, and ability to vibe code.

Be able to thrive and succeed in a fast-paced environment, not be hindered by ambiguity or multiple priorities, and set clear actionable goals.

Demonstrated outstanding organization skills, attention to detail in writing product specifications, and excellent writing skills to publish case studies, and papers.

Hands-on expertise and understanding of NVIDIA software strategy & products, familiarity of working with LLMs, Retrieval Augmented Generation (RAG), and Agentic AI.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.

Responsibilities

  • Applications for this job will be accepted at least until October 23, 2026.
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Where you’d work

From the office

About the company

NVIDIA

Office in United States

Also hiring in United Kingdom, Seattle, United States, Munich, Germany and 15 more places

236 of their 656 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 2 red flags

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Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • LLMs
Seniority
Intern
Type
Internship
Specialty
Product Manager
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Product & Project
Specialty
Product Manager
Seniority
Intern
Experience
0-3 years
Tech stack
  • LLMs

Location

Work model
Office
Region
United States
Office
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Internship

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