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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
NVIDIA • Shanghai, Shanghai, China
Role & seniority: Graduate-level QA/Test Engineer (full-time, 1-year program) at NVIDIA; pursuing a Master’s degree.
Stack/tools: Python; shell scripting; Linux; AI development tools for QA; NVIDIA GPU Cloud products; test automation; virtualization (nice-to-have: Docker, Kubernetes, OpenStack).
Execute test cases to validate NVIDIA GPU Cloud products.
Automate test cases and maintain automation scripts.
Collaborate with development teams to triage issues, perform root-cause analysis, verify fixes, define new tests, and improve test plans.
Pursuing Master’s in Computer Science or Electronic Engineering.
Fluent English (oral and written).
Experience with AI development tools to improve QA workflow (test plan, test case development, automation).
Proficient in Python and shell scripting; strong Linux knowledge.
QA/testing experience; strong problem-solving; good interpersonal skills; quick learner; proactive; self-motivated.
Ability to work full-time in office 5 days/week for 1 year.
Experience with NVIDIA GPU hardware.
Background in parallel programming.
Experience with Docker, Kubernetes, OpenStack.
Location & work type: Office-based, full-time, 5 days/week; duration: 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 in office 5 days per week for 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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