Software Engineering Intern, Test Development - 2026 job opportunity at NVIDIA.



DatePosted 28 Days Ago bot
NVIDIA Software Engineering Intern, Test Development - 2026
Experience: Highly Experienced
Pattern: full-time
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Test Development - 2026

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loacation China, Shanghai, China
loacation China, Shangha..........China

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

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