Product Management Intern, Enterprise Products - Summer 2025

US, CA, Santa Clara

NVIDIA

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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!

The landscape of GPU-accelerated AI, deep learning, and machine learning is rapidly evolving. As AI transitions from groundbreaking research to mainstream applications, every global enterprise is keen on demonstrating it. From improving operational efficiencies to crafting outstanding user experiences, AI is truly making the world better. At NVIDIA, we’re at the forefront of this change. We're seeking a hard-working Product Management Intern to join our Enterprise Product Group. You’ll be working on groundbreaking NVIDIA technologies that cater to enterprises from edge computing to data centers and the cloud. Partner with brilliant minds in engineering, operations, and marketing to lead products through their entire life cycle.

What you’ll be doing:

  • Assist in various product management tasks, including market research, customer needs analysis, and idea generation for new products and features.

  • Build presentations and documentation to bolster product launches and other initiatives.

  • Collaborate with engineering teams to ensure our products are tailored to customer needs.

  • Be an integral part of product launches, including support and deliverables and testing and evaluating the performance of products.

  • Supervise customer feedback and product performance metrics.

  • Develop and update the product roadmap and relevant documentation.

What we need to see:

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Science, Electrical Engineering, or a similar field.

  • Strong analytical and problem-solving abilities.

  • Familiarity with concepts of machine learning, data science or AI frameworks (e.g. TensorFlow/Keras, PyTorch, Pandas), and ML tools.

  • Hands-on experience with Git, including basic command-line skills.

  • Strong interpersonal skills and the ability to work optimally in a collaborative environment

  • Insight into how technical choices affect both NVIDIA and our customers.

Ways to stand out from the crowd:

  • Experience building AI models or workflows in a technical setting or product management

  • Passion or background in scientific computing and AI

  • Knowledge of Generative AI? Big plus

  • Savvy with cloud-native concepts: Containerization, Kubernetes, and cloud services

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis. ​

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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Category: Product Jobs

Tags: Computer Science Deep Learning Engineering Generative AI Git GPU Keras Kubernetes Machine Learning Market research Pandas PyTorch Research TensorFlow Testing

Perks/benefits: Career development

Region: North America
Country: United States

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