NVIDIAEnterprise Platform Technical Marketing Engineer Intern - Summer 2027
NVIDIA is hiring an Enterprise Platform Technical Marketing Engineer Intern - Summer 2027 in Santa Clara, United States. It pays $20-$71/hr and Level rates it ; you can apply on Level.
AI in this role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As an Enterprise Platform TME intern, you will help accelerate adoption of NVIDIA Enterprise solutions by building the workflows, demos, and technical content that show partners and customers what GPU-accelerated platforms make possible. You will stand up AI and agentic AI workflows end to end and then explain them clearly to engineering audiences and at public events, developing the technical marketing assets that bring them to life — product and technology demonstrations, videos, playbooks, and targeted content. A core part of the role is translating Enterprise Platform capabilities into real-world use cases across Manufacturing, AECO, and Media & Entertainment. Working closely with key OEM partners and internal teams, you will help define the demos that showcase GPU-enabled enterprise platforms, produce the technical collateral that supports them, and enable customers to develop AI locally on the systems they already trust. Position includes owning a summer project: a "hero demo" showcasing an end-to-end GPU-accelerated workflow; Pitch the demo concept directly, driving ownership of the idea from the start; A follow-on project may be assigned if the hero demo is completed early and to a high standard.
What you'll be doing:
Building AI and agentic AI workflows end to end on NVIDIA platforms, including hardware bring-up and troubleshooting
Creating technical marketing assets such as product demonstrations, videos, playbooks, and one-pagers
Translating enterprise platform capabilities into real-world use cases across manufacturing, architecture and construction, and media and entertainment
Defining and testing demos alongside original equipment manufacturer (OEM) partners and internal teams, and organizing a shared demo library
Owning a summer "hero demo" project: an end-to-end GPU-accelerated workflow that you pitch and then build
What we need to see:
Pursuing a BS or MS in Computer Science, Computer Engineering, or a related technical field (graduating December 2027 or later)
Programming experience in Python
Working knowledge of Linux and Windows, including command-line tooling and system configuration
Hands-on experience with an AI or machine learning framework such as PyTorch, TensorFlow, or Hugging Face
Experience documenting a technical workflow and presenting it to a technical audience
Ways to stand out from the crowd:
Experience with large language models, retrieval-augmented generation (RAG) pipelines, or agentic AI frameworks such as LangChain, LlamaIndex, or NVIDIA NIM
Familiarity with CUDA, GPU acceleration concepts, or NVIDIA developer software development kits such as TensorRT, RAPIDS, or Omniverse
Working knowledge of containers and environment management (Docker, Conda, WSL), Git, and C/C++ or shell scripting
Hands-on PC or workstation hardware experience, including component installation, system bring-up, driver troubleshooting, and benchmarking
Projects you can demo: a GitHub portfolio, hackathon builds, research prototypes, technical blogs, or demo videos
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 17, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.How we rate this
Enterprise Platform Technical Marketing Engineer Intern - Summer 2027 at NVIDIA rates 42 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Skills and AI tools this role asks for
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Pay
- Typical marketing job
- $145k
Use the typical marketing figure as a reference when pay comes up. See marketing jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used LangChain in your day-to-day work.
- What are the limits of LlamaIndex that you've run into, and how did you work around them?
- What's a project where you used Hugging Face hands-on?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, LangChain, LlamaIndex, Hugging Face, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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