Product Marketing MBA Intern, AI Infrastructure

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 5 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Similar $181k

$105k $256k

below market most similar roles pay here above market

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1814 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1204 roles with salary data.

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At a glance

TL;DR · Product Marketing MBA Intern, AI Infrastructure

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The Product Marketing MBA Intern, AI Infrastructure — Summer 2027 joins the data center business to drive awareness and thought leadership for the AI infrastructure platform. This role involves translating complex technical material into actionable narratives for customers, partners, and analysts. You will collaborate with engineering and solution architecture teams to research accelerated compute, networking, CUDA libraries, and model architectures. Key responsibilities include synthesizing developments in inference, serving frameworks, and optimization techniques from arXiv and industry papers to maximize performance while minimizing cost. You will author blog posts, technical explainers, and narrative frameworks while partnering with PR and developer marketing teams. The role requires a technical background in STEM, an MBA, and proficiency with PyTorch, JAX, TensorRT-LLM, vLLM, SGLang, and Triton Inference Server.

Skills

AI CUDA PyTorch JAX TensorRT-LLM vLLM SGLang Triton Inference Server Accelerated Computing Deep Learning Inference Serving Model Architectures Optimization Techniques

What you'll do

Work with engineering and product teams to understand NVIDIA’s AI infrastructure and inference stack capabilities.
Research and synthesize developments in model architectures, serving frameworks, and optimization techniques.
Identify intersections between industry research and NVIDIA’s platform to maximize performance and minimize cost.
Author core content including blog posts, technical explainers, presentations, and narrative frameworks.
Partner with PR and analyst relations teams to distribute content across multiple marketing channels.
Own a defined summer project from initial research through to a final published or presented deliverable.

What we're looking for

Currently pursuing an MBA degree with a graduation date between December 2027 and summer 2028.
Must hold a previous Bachelor’s degree 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 model training, serving, and inference at scale.
Excellent written and verbal communication skills to translate complex technical concepts for non-specialist audiences.
Ability to work independently with directional feedback and a bias toward moving quickly.
Familiarity with modern data center concepts, deep learning frameworks, and inference serving optimization approaches (preferred).
Published technical writing, blog posts, or conference talks explaining AI systems, infrastructure, or inference (preferred).

10+ yrs exp

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