Product Marketing MBA Intern, AI Infrastructure — Summer 2027

NVIDIA is hiring a Product Marketing MBA Intern, AI Infrastructure — Summer 2027 in Santa Clara, United States. It pays $38-$94/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this marketing role is Uses AI ●●○○: an ordinary role that requires AI tools.
The posting mentions vLLM, PyTorch and JAX among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,600+ other open roles on Level.
Posted in the last few days.

AI in this role

vllmpytorchjax

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.

How we rate this

Product Marketing MBA Intern, AI Infrastructure — Summer 2027 at NVIDIA rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Product Marketing MBA Intern, AI Infrastructure — Summer 2027 is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The listed pay is $38-$94/hr.
The role is based in US, CA, Santa Clara.
The job was posted on November 2, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

vLLMPyTorchJAX

Also common in marketing jobs at this level

SQL AI agents Generative AI Python Machine learning AWS

Pay

Typical marketing job: $148k

Use the typical marketing figure as a reference when pay comes up. See marketing jobs

Questions you could be asked

What's a project where you used vLLM hands-on?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of JAX that you've run into, and how did you work around them?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: vLLM, PyTorch, and JAX. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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