Product Management MBA Intern, Accelerated Computing GPU - Summer 2026 job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Accelerated Computing GPU - Summer 2026 Product Management MBA Intern, Accelerated Computing GPU - Summer 2026 position at NVIDIA


DatePosted 17 Days Ago bot
NVIDIA Product Management MBA Intern, Accelerated Computing GPU - Summer 2026
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Accelerated Computing GPU - Summer 2026

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degreeMBA
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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 o n 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   GPU s, 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 in ference, 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.   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 27 USD - 82 USD.
 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.

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