Before you apply
Listed location: China, Shanghai
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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
Skills mentioned
Frequently asked questions
Is the CUDA Full Stack & AI Test Dev Intern - 2027 position at NVIDIA remote?
The CUDA Full Stack & AI Test Dev Intern - 2027 role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the CUDA Full Stack & AI Test Dev Intern - 2027 role?
NVIDIA is hiring for a full-time CUDA Full Stack & AI Test Dev Intern - 2027 position.
Which skills are mentioned for the CUDA Full Stack & AI Test Dev Intern - 2027 job at NVIDIA?
Detected skill labels include Python, CUDA, JavaScript, React, LLM, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the CUDA Full Stack & AI Test Dev Intern - 2027 position at NVIDIA?
You can apply for the CUDA Full Stack & AI Test Dev Intern - 2027 role directly through NVIDIA's official application link provided on this page.
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