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NVIDIA

Designs the chips and software that power AI

AI Operations Intern - AI Clouds

Software EngineeringPosted on Nov 10
Internship · Summer 2027Santa Clara, CA, USANo salary listedIn-person

About the Job

Requirements

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

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 the 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 built.

Desired Qualifications

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

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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