Job description

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.

Requirements

Must-haves

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
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
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
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.

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aipythonmachine learningdocker

Platform: eightfold
Effort: medium

Benefits

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