Product Marketing MBA Intern, AI Infrastructure — Summer 2027

Location: US, CA, Santa Clara

Want to join a fun, creative company that is at the forefront of AI? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies!

We are looking for a Product Marketing MBA Intern to join the team driving awareness and thought leadership for NVIDIA’s AI infrastructure platform. This role sits in our rapidly growing data center business and is focused on telling the story of our AI infrastructure and inference leadership to a broad audience spanning customers, partners, and analysts. The work is translating genuinely hard technical material into narratives each of those audiences can act on. If you have an engineering or product background, are now sharpening the business lens in an MBA program, and are energized by the pace of AI, this is the role for you.

What you’ll be doing

Work with engineering, product, and solution architecture teams to understand the technical capabilities of NVIDIA’s AI infrastructure and inference stack, including accelerated compute, networking, CUDA libraries, model architectures, and deployment techniques

Research and synthesize developments in inference such as model architectures, serving frameworks, optimization techniques, arXiv and industry papers, and identify where they intersect with NVIDIA’s platform to maximize performance and minimize cost

Author core content that builds awareness and thought leadership: blog posts, technical explainers, presentations, briefing materials, and narrative frameworks

Partner with PR, campaigns, analyst relations, and developer marketing teams to carry this content across channels and maximize reach

Own a defined summer project end to end, from research through to a published or presented deliverable

What we need to see

Currently pursuing an MBA degree (December 2027 to summer 2028 graduation date) with a previous Bachelor’s in a technical field such as engineering, computer science, or another STEM discipline

Prior full-time experience in an engineering, product management, or technical product role

Working understanding of AI/ML fundamentals, including how models are trained and served, and what makes inference hard at scale

Excellent written and verbal communication, with ability to translate complex technical concepts for non-specialist audiences

Ability to work independently with directional feedback, and a bias toward moving quickly

Ways to stand out from the crowd

Familiarity with modern data center and accelerated computing concepts, deep learning frameworks (PyTorch, JAX), and inference serving and optimization approaches (TensorRT-LLM, vLLM, SGLang, Triton Inference Server, or similar)

Published technical writing, blog posts, or conference talks explaining AI systems, infrastructure, or inference

Experience with hyperscale cloud providers or large-scale AI infrastructure

NVIDIA is widely considered to be one of high technology’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life’s best work. If you’re creative, self-motivated, and curious about how AI actually runs, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until November 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.