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Software Engineering Intern, AI CI/CD Infrastructure – 2027

NVIDIA· Intern
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ShanghaiinternPosted 1w ago

About the role

Software Engineering Intern to improve NVIDIA’s CI systems for deep learning compilers. Own a focused project to make CI failures faster to detect, understand, and resolve by building an AI-assisted workflow for analyzing test results, classifying failures, identifying regressions, and reducing manual triage.

Responsibilities

  • Design and implement an AI-assisted workflow for analyzing and triaging failures in deep learning compilers CI
  • Use logs, test results, and execution metadata to classify failures, identify regressions, and detect flaky tests
  • Integrate the solution with existing CI infrastructure and create diagnostics that help engineers understand and resolve failures
  • Evaluate accuracy, reliability, and developer time savings across representative GPU hardware and software configurations
  • Collaborate with compiler verification and infrastructure engineers, document the project, and present results to the team

Qualifications

  • Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
  • Strong Python programming skills and a solid understanding of software engineering, debugging, and version control
  • Familiarity with Linux development environments and command-line tools
  • Experience through coursework, research, open-source work, or prior internships with CI/CD, test automation, developer tools, infrastructure, or machine learning systems
  • Strong analytical, communication, and collaboration skills, with enthusiasm for improving engineering quality and developer productivity

Skills

Required:PythonCI/CDLinuxAnalytics
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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