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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:
CurrentlypursuingMaster'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 toworkfull 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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