NVIDIA’s 2027 Full Stack and AI internship in Shanghai is open to Master’s and PhD computer science students with full-stack, Python, LLM and AI testing skills.
NVIDIA is seeking Master’s and PhD students in computer science for a 2027 internship focused on full-stack development, CUDA test automation and artificial intelligence. The full-time opportunity is based in Shanghai, China and involves building tools used to analyse CUDA testing data and developing LLM-powered features.
NVIDIA Internship 2027 Overview
| Detail | Information |
|---|---|
| Organisation | NVIDIA |
| Internship | CUDA Full Stack & AI Test Dev Intern – 2027 |
| Job ID | JR2023666 |
| Location | Shanghai, China |
| Job type | Full time |
| Study level | Master’s or PhD |
| Main field | Computer Science |
| Minimum availability | 5 days per week for at least 1 year |
| Main technologies | React, Python, Node.js, databases, APIs, LLMs |
| Deadline | Not specified in the supplied vacancy |
What the NVIDIA Internship Involves
The internship sits within a team responsible for CUDA automation testing and test development.
Interns will work on a full-stack web platform used by CUDA engineers to analyse automated test results. The team is also expanding the platform with AI capabilities for test analysis, failure diagnosis and AI application testing.
Key activities include:
- Developing full-stack web applications
- Building data-intensive dashboards and visualisations
- Developing front-end and back-end features
- Working with databases and APIs
- Developing LLM-powered features
- Supporting automated testing
- Performing QA testing for ARM-based products and AI applications
Who Should Apply?
This opportunity is most relevant to computer science students pursuing a Master’s or PhD who already have practical software development and AI experience.
Candidates should be comfortable working across both front-end and back-end technologies rather than focusing on only one side of software development.
Eligibility Explained
NVIDIA requires applicants to be:
- Pursuing a Master’s or PhD in Computer Science at a leading university.
- Available to work five days per week for at least one year.
- Familiar with modern full-stack development.
- Strong in Python scripting.
- Familiar with databases and APIs.
- Able to understand applications involving LLMs and AI agents.
- Familiar with AI application testing and evaluation.
- Strong in troubleshooting and problem solving.
NVIDIA also considers Playwright or Vitest experience an advantage.
Technical Skills That Matter
The vacancy provides a clear indication of the technical profile NVIDIA is seeking.
The core combination includes JavaScript frameworks, Python, Node.js, databases, APIs, LLM applications and AI testing.
This means applicants should avoid presenting themselves only as general software developers. Their CV should demonstrate projects where they have actually built, tested or evaluated software and AI systems.
Salary and Benefits
The supplied NVIDIA vacancy does not specify a salary or internship stipend.
It also does not provide a detailed internship benefits package. Applicants should refer to the official vacancy for any compensation or benefits information that may be added or provided during the recruitment process.
Why This Internship Matters
The opportunity combines several areas that are increasingly connected in modern software engineering: full-stack development, AI systems, large-scale testing and developer productivity.
For students with both software engineering and AI interests, the role could provide a particularly useful opportunity to demonstrate experience across application development and AI-enabled engineering workflows.
Application Deadline
The supplied NVIDIA vacancy does not state an application deadline.
Candidates should check the live vacancy for the latest application status.
How to Apply
Applications should be submitted through the official NVIDIA Careers vacancy for Job ID JR2023666.
Applicants should upload an English-language resume and review the complete requirements before applying.
Application Tips
Candidates should make their CV highly technical and evidence-based.
Highlight specific projects involving React, Python, Node.js, databases, APIs, LLMs or AI agents rather than simply listing these technologies.
Experience with automated testing frameworks such as Playwright or Vitest should also be clearly shown where applicable.
Because the position requires a long-term commitment of at least one year and five working days per week, applicants should confirm their availability before applying.
Opportunities Feed Assessment
This NVIDIA internship is particularly suited to advanced computer science students who can combine full-stack engineering with AI and testing expertise.
The most important distinction is that NVIDIA is not looking only for candidates interested in AI theory. The vacancy specifically combines software development, data-intensive applications, automated testing and LLM-powered engineering tools.
Applicants with practical project experience demonstrating this combination may be better aligned with the vacancy than candidates whose experience is limited to coursework.
Frequently Asked Questions
Who can apply for the NVIDIA 2027 internship?
The vacancy is aimed at students pursuing a Master’s or PhD in Computer Science.
Where is the internship based?
The position is based in Shanghai, China.
Is the NVIDIA internship full time?
Yes. It is listed as a full-time university employment opportunity.
How long must interns be available?
NVIDIA states that candidates must be able to work five days a week for at least one year.
What programming skills are required?
The vacancy mentions modern JavaScript frameworks, backend development, databases, APIs and Python scripting, with Python described as a must.
Is LLM experience required?
NVIDIA requires an understanding of LLM applications, AI agents and AI application testing or evaluation.
Is automated testing experience required?
It is part of the internship responsibilities, while experience with frameworks such as Playwright or Vitest is listed as a way to stand out.
Is the internship paid?
The supplied vacancy does not specify the salary or stipend.
Is the application deadline available?
No specific deadline is provided in the supplied vacancy.
What resume should applicants submit?
The vacancy specifically asks candidates to upload their resume in English.
Disclaimer
Opportunities Feed is sharing this internship for informational and career purposes. We are not affiliated with NVIDIA and do not recruit applicants on its behalf. Applicants should verify the latest eligibility requirements, application status, compensation and application instructions through the official NVIDIA Careers website.
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