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What you’ll be doing:
Be responsible for functionality, compatibility, and performance tests in NVIDIA AI software stack release.
Develop, maintain, and improve test automation infrastructure with using AI tools.
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
What we need to see:
Pursuing MS or higher degree in CS/EE/CE.
Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.
Good python, C++ programming skillset, Linux knowledge is required.
Experience in software development withpopular AI modelsis a strong plus.
Good communication skills, fluent oral and written English.
Ways to stand out from the crowd:
Be familiar with deep neural network training, inference, optimization in typical DL Frameworks.
Background with NVIDIA GPU Computing (CUDA) is a strong plus.
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