Nvidia Deep Learning Software Engineering Intern Test Development - 

China, Shanghai 

547528848

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.

• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.

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.

• Experience with AI tools.

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.

• Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation.