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!

NeMo Retriever represents NVIDIA's innovative solution in the enterprise RAG (Retrieval-Augmented Generation) space. As organizations seek to demonstrate their proprietary data with large language models, NeMo Retriever delivers groundbreaking retrieval models and pipelines that ensure accurate, reliable, and context-aware information access. Our team is pushing the boundaries of what's possible in enterprise search and retrieval, developing sophisticated architectures that combine the power of LLMs with retrieval mechanisms to set new standards in accuracy and relevance.

We're seeking an emerging Product Management Intern for our NeMo Retriever team who will focus on advancing RAG systems through LLM-based agentic retrieval. This role sits at the intersection of ground breaking AI technology and enterprise solutions, helping craft the future of AI!

What you'll be doing:

• Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product

• Market intelligence: Understand the developers, partners, and competitors

• Build and Deliver: Collaborate with engineering to promote the customer's needs by setting feature priorities across roadmaps

• Learn and present: Conduct detailed error analysis of existing retrieval pipelines to identify performance gaps and optimization opportunities

• Drive key customer engagements: manage early access program recruitment, facilitate POC testing and implementation, capture and analyze customer feedback, develop and refine product roadmap

What we need to see:

• Currently pursuing an BS or MS in Computer Science, AI, or a related technical field at a university.

• Passion for delivering software, libraries, and SDKs.

• Proven track record of teamwork across teams, customers, and partners.

• Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences.

• Ability to make hard prioritization and tradeoff decisions based on data and business considerations.

• Experience in defining key performance indicators and metrics to evaluate product progress, readiness, and success.

Ways to stand out from the crowd:

• Strong background in machine learning, particularly in LLMs and information retrieval systems.

• Experience with RAG systems and enterprise search solutions.

• Close interactions with enterprise customers, understanding problems and needs, and translating to technical product requirements.

• Experience in zero to one product definition and development.

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.