Technical Product Marketing MBA Intern, AI Infrastructure - Summer 2027

NVIDIA•Santa Clara, CA

4d•$38 - $94

About The Position

NVIDIA is seeking an MBA Intern to join its AI Infrastructure product marketing team. The intern will work with product, marketing, and sales teams to translate accelerated computing technologies into clear messaging, compelling content, and business value for customers. The role focuses on AI infrastructure, training, inference, and accelerated computing, and includes delivering an internship project with defined objectives, achievements, and outcomes, then presenting recommendations to collaborators across product management, engineering, sales, and marketing.

Requirements

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.

Nice To Haves

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.

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.