Software QA (Deep Learning) 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 of 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-optimized Deep Learning Frameworks (E.g. TensorFlow, PyTorch, PyG, etc.) and work loading running on GPU (E.g. SPARK RAPIDS, TAO, etc.)
• Maintain & develop test automation infrastructure (web-based).
• 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.
• Web service developing

What we need to see

• Pursuing a BS or higher degree in CS/EE/CE.
• Direct web developing experience (Javascript/HTML/Bootstrap).
• Direct user experience on Docker/Ansible.
• Good Python skillset, Flask, and Linux knowledge are required.
• Experience in C/C++ programming is a plus.
• Familiarity with any Deep Learning Framework or SPARK 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

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the world’s most desirable employers in the technology field. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous, and love a challenge, we want to hear from you. Come, join our AI Infrastructure team, and help build the real-time, cost-effective computing platform driving our success in the exciting and quickly growing field of AI.