NVIDIASoftware Engineering Intern, CUDA Test Development - 2027
NVIDIA is hiring a Software Engineering Intern, CUDA Test Development - 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.
- The posting mentions CUDA, Python and C among its tools and skills.
- Level classes it as an internship.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
Design and automate CUDA library tests while leveraging AI tools to enhance test coverage and quality assurance workflows.
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 driving autonomous vehicles.
We have the most brilliant and talented people in the world working for us. If you are talented, bright, driven and if working with smart technical people across countries sounds interesting, this job is for you. Our team is mainly focusing on CUDA Automation testing, CUDA Safety and CUDA test development area and we are now looking for a CUDA Test Development Software Intern.
What you’ll be doing:
Design and Implement tests for CUDA library and driver.
Automate CUDA tests, design test plan and enable them in automation testing infrastructure.
Triage test results, isolate test failures and improve test coverage.
What we need to see:
Work 5 days a week for at least 1 year
Pursuing MS or PhD degree from a leading university in computer science.
Familiar with programming and debugging skills with C/C++ and Python.
Interested in test cases development, tests automation and failure analysis.
Experience in using AI to improve quality and productivity across the end-to-end QA workflow.
Good QA sense, knowledge and experience in software testing.
Ways to stand out from the crowd:
Hands-on experience developing AI skills and AI agents to solve real-world problems.
Strong English communication and collaboration skills.
Familiar with parallel programming, ideally CUDA C/C++, is a plus.
Background with VectorCAST, Gcov or other dev tool is a plus.
How we rate this
Software Engineering Intern, CUDA Test Development - 2027 at NVIDIA rates 45 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- 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 quality assurance was part of your work. What did you do?
- Tell me about a project where ai assisted development was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Testing, Test Automation, Quality Assurance, and AI Assisted Development. 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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