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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: Master’s student QA/QA Automation role (1-year, in-office)
Stack/tools: Python, shell scripting; Linux; AI development tools; test plan creation, test case development, test automation; familiarity with virtualization (Docker, Kubernetes, OpenStack) as a plus
Execute test cases to validate NVIDIA GPU Cloud products
Automate test cases and maintain automation scripts
Triage issues with development teams, perform root-cause analysis, verify fixes, define new tests, and improve test plans
Pursuing Master’s degrees in Computer Science or Electronic Engineering
Fluent English (oral and written)
Experience with AI development tools for QA workflow
Proficient in Python and shell scripting
Linux QA experience, strong problem-solving, good interpersonal and communication skills
Self-motivated, proactive, quick learner, committed; able to work full-time in office
Experience with NVIDIA GPU hardware
Background in parallel programming
Experience with virtualization technologies (Docker, Kubernetes, OpenStack)
Location & work type: In-office, full-time, 5 days/week, for 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 NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.