NVIDIA

CUDA Full Stack & AI Test Dev Intern - 2027

China, Shanghai

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hirly's read of this role

Role family: Engineering
Seniority: Internship
Country: CN
Work mode: On-site / unstated
First seen by hirly: 3 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

Original posting on NVIDIA's site ↗

Listed on hirly, a job board. hirly is not the employer: NVIDIA is hiring for this role.

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