Product Marketing MBA Intern, AI Infrastructure — Summer 2027

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking a Product Marketing MBA Intern to help drive awareness and thought leadership for its AI infrastructure platform. The role is part of the data center business and focuses on communicating NVIDIA’s AI infrastructure and inference capabilities to customers, partners, and analysts by translating complex technical material into actionable narratives. The intern will work with engineering, product, and solution architecture teams to understand NVIDIA’s AI infrastructure and inference stack, research developments in inference, and create content such as blog posts, technical explainers, presentations, briefing materials, and narrative frameworks. The intern will also collaborate with communications and marketing teams to distribute content and will own a defined summer project from research through a published or presented deliverable. This is a summer 2027 internship. The expected hourly rate is $38–$94, and the position includes intern benefits. Applications will be accepted at least until November 6, 2026.

Requirements

Currently pursuing an MBA, with an expected graduation date between December 2027 and summer 2028.
Hold a bachelor’s degree in a technical field such as engineering, computer science, or another STEM discipline.
Prior full-time experience in engineering, product management, or a technical product role.
Working understanding of AI/ML fundamentals, including how models are trained and served and the challenges of inference at scale.
Excellent written and verbal communication skills, including the ability to explain complex technical concepts to non-specialist audiences.
Ability to work independently with directional feedback and a bias toward moving quickly.

Nice To Haves

Familiarity with modern data center and accelerated computing concepts.
Familiarity with deep learning frameworks such as PyTorch or JAX.
Familiarity with inference serving and optimization approaches such as TensorRT-LLM, vLLM, SGLang, or Triton Inference Server.
Published technical writing, blog posts, or conference talks explaining AI systems, infrastructure, or inference.
Experience with hyperscale cloud providers or large-scale AI infrastructure.

Responsibilities

Work with engineering, product, and solution architecture teams to understand NVIDIA’s AI infrastructure and inference stack, including accelerated compute, networking, CUDA libraries, model architectures, and deployment techniques.
Research and synthesize inference developments, including model architectures, serving frameworks, optimization techniques, research papers, and industry papers, and identify how they intersect with NVIDIA’s platform to improve performance and reduce cost.
Create awareness and thought-leadership content, including blog posts, technical explainers, presentations, briefing materials, and narrative frameworks.
Partner with PR, campaigns, analyst relations, and developer marketing teams to distribute content across channels and maximize reach.
Own a defined summer project from research through a published or presented deliverable.