Deep Learning Software Engineering Intern, Test Development - 2027

Responsibilities

• 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 MS 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.

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