Product Marketing MBA Intern, AI Infrastructure — Summer 2027

Responsibilities

• 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

Requirements

• 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

Preferred

• 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

Benefits

• Intern benefits.