Software Engineering Intern, CUDA Test Development - 2026
Job Description
- Strong English communication and collaboration skills
- Familiar with parallel programming, ideally CUDA C/C++
- Rich experiences in automation framework development
- 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
- 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
Company
Job Requisition ID
JR2007431
Job Category
Univ Employment
Time Type
Full time
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.
- Rich experiences in automation framework development.
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!
