Software Engineering Intern, Test Development - 2026
at Nvidia
Posted 9 hours ago
No clicks
- Compensation
- Not specified
- City
- Shanghai
- Country
- China
Currency: Not specified
NVIDIA is seeking a Software Engineering Intern for Test Development to help validate NVIDIA GPU Cloud products. You will execute test cases, automate and maintain test scripts, and collaborate with development teams on triage, root cause analysis, and test plan improvements. The role requires pursuing a Master's degree in Computer Science or Electronic Engineering, strong Python and shell scripting skills, Linux proficiency, and a passion for QA and test automation. This is a full-time internship for up to 1 year.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What you’ll be doing:
Be responsible for executing test cases to validate NVIDIA GPU Cloud products
Automate test cases and maintain the automation scripts
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans
What we need to see:
Currently pursuing Master's degrees in Computer Science and Electronic Engineering
Fluent oral and written English
Experience in using AI development tools to improve quality and productivity across the end-to-end QA workflow, including test plan creation, test case development, and test automation
Proficient in Python and shell scripting
Good Knowledge on Linux OS
QA sense, knowledge, and experience in software testing
Great problem-solving skills
Good interpersonal skills, quick learner, proactive, innovative, and committed
Strongly self-motivated with a passion to learn new hardcore technology
Able to work full time up to 1 year
Ways to stand out from the crowd:
Experience working with NVIDIA GPU hardware is a strong plus
Background in parallel programming ideally is a plus
Experience with virtualization technologies like Docker, Kubernetes, Openstack
