Deep Learning Software QA Engineer Intern (Start ASAP)

We are now looking for a Deep Learning Software QA Engineer Intern!

The position is in the NVIDIA Deep Learning Software Quality Assurance team that defines, develops, and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow by being on the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness, and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software that will be used by the entire world!

What you’ll be doing

• GPU Software testing and test automation improvement for NVIDIA Deep Learning Software products, such as cuDNN, TensorRT, and 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, and improve test plans. 

What we need to see

• Pursuing a BS or higher degree in CS/EE/CE
• Scripting language (Python, Perl, bash), Linux knowledge is required
• Experience in C/C++ programming is a plus
• Familiarity with 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