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HOME Software Engineering & Dev CUDA Full Stack & AI Test Dev Intern - 2027
  • NVIDIA
  • China,
  • Full-Time
  • 68 days ago
NVIDIA VERIFIED EMPLOYER

CUDA Full Stack & AI Test Dev Intern - 2027.

Software Engineering & Dev Full-Time
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CUDA Full Stack & AI Test Dev Intern - 2027: our view in 3 lines...

  • The Role:This internship is for a full stack software engineer interested in CUDA test analysis, LLM features, and AI application testing at NVIDIA.
  • The Person:The person will develop and maintain full-stack web applications, build front-end and back-end features, develop LLM-powered features, and execute QA testing and test automation for NVIDIA ARM-based products and AI applications.
  • Requirements:The role asks for modern full-stack development, JavaScript frameworks, backend development, databases, APIs, good Python scripting skills, understanding of LLM applications, AI agents, and AI application testing and evaluation.

About the role

NVIDIA is the world leader in GPU Computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics, and HPC/Cloud Datacenters, in addition to our traditional OEM business. We are well positioned as the 'AI Computing Company', and our GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, big data, modern data centers, smart cities, and autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you are talented, bright, driven, and interested in working with smart technical people across countries, this job is for you.

Our team mainly focuses on CUDA automation testing and CUDA test development. We build and own an internal full-stack web platform that CUDA engineers worldwide rely on to analyze automated test results, and we are now expanding it with LLM-powered AI features for CUDA test analysis, failure diagnosis, and AI application testing. We are looking for a Full Stack & AI Software Engineer Intern.

What you'll be doing:

  • 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

What we need to see:

  • 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

Ways to stand out from the crowd:

  • Experience with automated testing and test frameworks such as Playwright or Vitest

  • Excellent English communication and collaboration skills

Published August 21, 2026
Location China, China
Category Software Engineering & Dev  
Job Type Full-Time  

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