Product Management MBA Intern, Accelerated Computing GPU - Summer 2026
NVIDIA
NVIDIA has been redefining 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.
As NVIDIA Product Managers, our goal is to ensure the NVIDIA Platform is the best choice for developers, the end users of the applications they deploy, and to push the boundaries of what is possible with their AI deployments! We work directly with developers inside and outside of the company to identify key improvements, create roadmaps, and stay alert on the AI landscape. We also work with NVIDIA leaders to define a clear product strategy and the marketing team to build go-to-market plans. The Product Management organization at NVIDIA is a small, strong, and impactful group. We focus on enabling artificial intelligence across all GPU use cases and providing great solutions for developers. We are seeking a rare blend of product skills, technical depth, and passion to make NVIDIA great for developers and provide the best value for users. Does that sound familiar? If so, we would love to hear from you!
What you will be doing:
Help articulate the value proposition of our products quantitatively through performance metrics
Work with marketing experts to highlight key advancements and advantages of our upcoming products
Analyze total cost of operation estimates for our products from analyst reports and other publications and compare them against our own
Synthesize customer feedback on our upcoming products and provide actionable and tactical next steps to better elucidate the value proposition of our products
What we need to see:
Pursuing an MBA (graduating in Dec 2026 or spring 2027)
Comfort with using Microsoft Excel including formulae such as index-matching and creating pivot tables
Experience in python to process data and automate repetitive tasks
Knowledge and experience with GPUs, especially for data science, machine learning, or artificial intelligence applications
Understanding of GenAI, especially training and inference on large language models
Ways to stand out from the crowd:
Deep knowledge of the architecture of large language models, including nuances of pareto curves for inference, model parallelism strategies, etc.
Deep understanding of the interrelationships between LLM architecture and GPU / system architecture
Strong experience in developing ETL pipelines for data processing, data analytics,
3+ years of experience in developing / deploying GenAI applications and/or experience in semiconductor industry / high-performance computing
Previous experience working in or closely with a Product Management team.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until February 16, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.