NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for an MBA Intern to join NVIDIA’s AI Infrastructure product marketing team! You will work with product, marketing, and sales teams to translate accelerated computing technologies into clear messaging, compelling content, and business value for customers.
What you’ll be doing:
- Researching customer needs, market trends, and competitive offerings across AI infrastructure, training, inference, and accelerated computing.
- Developing messaging and positioning that connect technical capabilities to customer priorities, including performance, energy efficiency, deployment simplicity, and total cost of ownership.
- Building marketing content, such as customer stories, presentations, solution briefs, blogs, and sales enablement materials.
- Working with technical teams to interpret performance data and turn findings into evidence-based value propositions for technical and business audiences.
- Delivering an internship project with clear objectives, achievements, and outcomes, and presenting recommendations to collaborators across product management, engineering, sales, and marketing.
What we need to see:
- Pursuing an MBA or a related field, or possessing equivalent experience (graduating in winter 2027 or summer 2028)
- BS or MS in engineering, computer science, or a related technical field, or equivalent experience
- Working knowledge of AI 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
Ways to stand out from the crowd:
- Background in product marketing, product management, engineering, technical consulting, or enterprise technology
- Experience with generative AI, AI agents, inference, accelerated computing, or cloud infrastructure
- 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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 6, 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.