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CUDA Full Stack & AI Test Dev Intern - 2027

NVIDIA· Intern
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ShanghaiinternPosted 1mo ago

About the role

Internship focused on CUDA automation testing, full-stack web platform development for CUDA test analysis, and LLM-powered AI features for test analysis and failure diagnosis.

Responsibilities

  • Develop and maintain full-stack web applications for CUDA test analysis, including data-intensive dashboards, large-scale data grids, and visualization
  • Build front-end and back-end features using modern technologies such as React, Python/Node.js, databases, and APIs
  • Develop LLM-powered features for automated test analysis, failure diagnosis, and engineering productivity
  • Execute QA testing and test automation for NVIDIA ARM-based products and AI applications

Qualifications

  • Pursuing MS or PhD degree from a leading university in computer science
  • Work 5 days a week for at least 1 year
  • Familiarity with modern full-stack development, including JavaScript frameworks, backend development, databases, and APIs, good Python scripting skills are a must
  • Understanding of LLM applications, AI agents, and AI application testing/evaluation
  • Good troubleshooting and problem-solving skills

Skills

Required:Full-stack web developmentJavaScript frameworksPython scriptingAPIs and databasesLLM / AI applications
Nice to have:QA testingEnglish communication
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

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

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