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Open nowPosted yesterday

AI Operations Intern, AI Clouds - Summer 2027

NVIDIA2,764 open roles

Where
US, CA, Santa Clara
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Your applicationOpen nowAI Operations Intern, AI Clouds - Summer 2027NVIDIA · US, CA, Santa Clara

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on NVIDIA's own form.

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. NVIDIA postings stay open a median of 58 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted yesterday

NVIDIA median: 58 days open

The posting

Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

Join NVIDIA’s AI Clouds team to build software and automation that help our teams support cloud partners and advance AI infrastructure programs. Working with a technical mentor and business partners, you’ll take a focused project from an initial problem statement to a working tool or feature. You’ll gain experience using AI-assisted development tools, gathering user feedback, and measuring how your work improves everyday workflows.

What you’ll be doing:

  • Build and deliver a scoped software tool or automation feature using AI-assisted development tools, with guidance from your 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 your work, following the team’s 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 that help colleagues adopt and use the tools you build.

What we need to see:

  • 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 your 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.

Ways to stand out from the crowd:

  • 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.

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!

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until November 14, 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.

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