Software QA Developer Intern - 2027

NVIDIA is hiring a Software QA Developer Intern - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Linux, Docker and Kubernetes.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Build test automation and intelligent reporting tools for software distributions using AI to drive GUI automation and test planning.

linuxdockerkubernetes

software-testingtest-automationgui-automationdeep-learning

NVIDIA is the world leader in AI and GPU computing. We are passionate about four markets: Gaming, Automotive, Enterprise Graphics, networking, 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 driving autonomous vehicles. We have some of the most brilliant and talented people in the world working for us. If you're talented, bright driven, and if working with smart technical people across countries sounds interesting, this job is for you.

What you’ll be doing:

Design test automations for our software distributions that include desktop/mobile/embedded OS, SDK, Developer Tools and deep learning packages.
Develop tools for intelligent test report analysis.
Develop tools for intelligent test planning with code coverage.
Research and develop AI tools to understand image or videos for GUI automation.

What we need to see:

Strong knowledge on Linux Operating systems
Proven ability in scripting languages.
2nd year or 3rd year in a master program of engineering discipline.
Available to work full time for 1 year internship.

Ways to stand out from the crowd:

Understand native programming (C/C++)
Skills in cloud computing (docker, Kubernetes)
Experiences in developing front end application
Knowledge in AI and deep learning.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

How we rate this

Software QA Developer Intern - 2027 at NVIDIA rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software QA Developer Intern - 2027 is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in China, Shanghai.
The job was posted on August 20, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software TestingTest AutomationGui AutomationDeep learningLinuxDockerKubernetes

Questions you could be asked

Tell me about a project where software testing was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where gui automation was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Walk me through how you've used Linux in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Testing, Test Automation, Gui Automation, Deep learning, and Linux. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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