AI Infrastructure Product Marketing Intern (MBA)

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Part time

5 days ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Santa Clara is seeking a Product Marketing MBA Intern to translate complex AI infrastructure concepts into compelling narratives for customers, partners, and analysts. You’ll work with engineering, product, and solution architecture teams to understand capabilities and craft content across blogs, explainers, and briefs.

Ideal candidates are pursuing an MBA with a STEM background, have prior engineering/technical product experience, and can communicate clearly.

Qualifications

  • Pursuing MBA with expected graduation around 2027–2028.
  • Bachelor’s in engineering, CS, or STEM field.
  • Prior full-time engineering, product, or technical role.
  • Strong understanding of AI/ML fundamentals and inference at scale.
  • Excellent written and verbal communication skills.
  • Ability to work independently with directional feedback.

Responsibilities

  • Collaborate with engineering and product teams to understand NVIDIA’s AI infrastructure and inference stack.
  • Research inference developments and map them to NVIDIA’s platform to optimize performance and cost.
  • Author content: blogs, technical explainers, presentations, and briefing materials.
  • Partner with PR, campaigns, analyst relations, and developer marketing to amplify content across channels.
  • Own a summer project end-to-end from research to deliverable.

Skills

AI/ML basics
Technical writing
Communication skills
Project management

Education

MBA candidate
Bachelor’s in STEM

Tools

PyTorch
JAX
TensorRT-LLM
vLLM
SGLang
Triton Inference Server

Job description

NVIDIA Corporation in Santa Clara is seeking a Product Marketing MBA Intern to translate complex AI infrastructure concepts into compelling narratives for customers, partners, and analysts. You’ll work with engineering, product, and solution architecture teams to understand capabilities and craft content across blogs, explainers, and briefs.

Ideal candidates are pursuing an MBA with a STEM background, have prior engineering/technical product experience, and can communicate clearly.

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