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What you’ll be doing:
GPU Software testing and test automation improvement for NVIDIA optimized Deep Learning Frameworks (E.g. TensorFlow, PyTorch, MxNET, etc.)
Maintain & develop test automation infrastructure.
Be responsible for functionality, compatibility, and performance tests in Deep Learning SW stack release.
Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans.
What we need to see:
Pursuing BS or higher degree in CS/EE/CE.
Direct web developing experience(JavaScript/HTML/Bootstrap).
Direct user experience on Docker/Ansible.
Good python skillset, Linux knowledge is required.
Experiences in C/C++ programming is a plus.
Familiarity any Deep Learning Framework is a strong plus.
Good communication skills, fluent oral and written English.
Ways to stand out from the crowd:
Familiarity working with NVIDIA GPU hardware is a strong plus;
Background with NVIDIA GPU Computing (CUDA) is a strong plus.
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