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Nvidia Deep Learning Software QA Engineer Intern 
China, Shanghai 
178614013

01.12.2024

What you’ll be doing:

  • GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, NVIDIA optimized Frameworks (E.g. TensorFlow, PyTorch, MxNET, etc.)

  • Be responsible for functionality, compatibility, and performance tests in DL 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.

  • Scripting language (Python, Perl, bash), 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.