About The Position

NVIDIA is seeking a Product Marketing MBA Intern to help drive awareness and thought leadership for its AI infrastructure platform within the data center business. The role focuses on communicating NVIDIA’s AI infrastructure and inference capabilities to customers, partners, and analysts by translating complex technical material into useful narratives. The intern will work with engineering, product, and solution architecture teams to understand the platform, research developments in inference, and create content such as blog posts, technical explainers, presentations, briefing materials, and narrative frameworks. The position also partners with communications and marketing teams to distribute content and includes ownership of a defined summer project from research through a published or presented deliverable.

Requirements

  • Currently pursuing an MBA, with an expected graduation date between December 2027 and summer 2028.
  • Previously earned 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 what makes inference challenging at scale.
  • Excellent written and verbal communication skills, including the ability to translate complex technical concepts for 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, Triton Inference Server, or similar tools.
  • 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 AI infrastructure and inference technologies, including accelerated compute, networking, CUDA libraries, model architectures, and deployment techniques.
  • Research and synthesize developments in inference, including model architectures, serving frameworks, optimization techniques, research papers, and industry papers; identify opportunities to use 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 to a published or presented deliverable.

Benefits

  • Eligible for intern benefits.
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