AI Operations Intern, AI Clouds - Summer 2027

at Nvidia

USD 20-71 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 API @ 2 Cloud Computing @ 3 Data Science @ 3 Debugging @ 3 Git @ 2 JavaScript @ 3 LLM Marketing @ 3 Python @ 3 TypeScript @ 3

Details

NVIDIA's AI Clouds team builds software and automation that help teams support cloud partners and advance AI infrastructure programs. Working with a technical mentor and business partners, the intern will take a focused project from an initial problem statement to a working tool or feature. The role provides experience with AI-assisted development tools, user feedback, and measuring improvements to everyday workflows.

Responsibilities

Build and deliver a scoped software tool or automation feature using AI-assisted development tools, with guidance from a technical mentor.
Work with partners across sales, marketing, strategy and operations, program management, and solutions architecture to understand manual workflows and define project requirements.
Test, debug, and refine work while following team practices for code review, data handling, and deployment.
Analyze usage and user feedback to understand adoption, identify improvements, and help scope future projects.
Create documentation and quick-start guides to help colleagues adopt and use the tools developed.

Requirements

Pursuing a BS or MS in Computer Science, Software Engineering, Data Science, or an equivalent program area.
Programming experience in Python, JavaScript, or TypeScript through coursework, personal projects, or previous internships.
Experience building a software application, automation script, or data project, with the ability to explain the approach and technical decisions.
Familiarity with APIs, structured data, and Git or another version-control system.
Experience testing and debugging code, including checking the correctness of AI-generated outputs.

Preferred Qualifications

Projects using AI coding assistants, large language models, or workflow automation.
Experience creating dashboards, analyzing product usage, or connecting data from multiple sources.
Interest in cloud computing and AI infrastructure, with curiosity about how software can improve business operations.

Benefits

Eligible for intern benefits.

Applications will be accepted at least until November 14, 2026. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.