AI Cloud Tools Intern: Build Automation & Dashboards

NVIDIA Corporation

California

On-site

USD 28,000 - 98,000

Full time

4 days ago
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Job summary

NVIDIA Corporation invites students to join the AI Clouds team as an intern in California. You will take a focused project from problem statement to a working tool, using AI-assisted development and gathering user feedback to improve workflows.

You will learn from a technical mentor, work with cross-functional partners, and document tools for easy adoption. This paid internship emphasizes hands-on software development and practical AI infrastructure exposure.

Qualifications

  • 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 or internships.
  • Experience building a software application, automation, or data project and able to explain decisions.
  • Familiarity with APIs, structured data, and Git or other version-control systems.
  • Experience testing and debugging code, including AI-generated outputs.

Responsibilities

  • Build and deliver a scoped software tool or automation feature using AI-assisted development tools with mentorship.
  • Collaborate with sales, marketing, strategy, operations, program management, and solutions architecture to map workflows and capture requirements.
  • Test, debug, and refine code following team practices for reviews and data handling.

Skills

Python
JavaScript/TypeScript
APIs
Git
Testing/Debugging

Education

Pursuing BS/MS in CS/SE/DS or equivalent

Job description

NVIDIA Corporation invites students to join the AI Clouds team as an intern in California. You will take a focused project from problem statement to a working tool, using AI-assisted development and gathering user feedback to improve workflows.

You will learn from a technical mentor, work with cross-functional partners, and document tools for easy adoption. This paid internship emphasizes hands-on software development and practical AI infrastructure exposure.

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