INTERNSHIP DETAILS

Software Intern, CUDA Test Development - 2026

CompanyNVIDIA
LocationShanghai
Work ModeOn Site
PostedApril 14, 2026
Internship Information
Core Responsibilities
Design and implement API tests for CUDA drivers and libraries while automating test plans within the infrastructure. Triage test results, isolate failures, and improve overall test coverage.
Internship Type
full time
Company Size
46022
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
About the Role

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 some of 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 API tests for CUDA driver and library.

  • 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:

  • Can work 4 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 using AI development tools 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:

  • 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.

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!

Key Skills
CC++PythonCUDAAPI TestingTest AutomationTest PlanningFailure AnalysisQADebuggingParallel ProgrammingVectorCASTGcovSoftware Testing
Categories
SoftwareTechnologyEngineeringData & Analytics