We are looking for a Software QA Engineer to join our DOCA QA testing team. This position will be part of the QA group which enables NVIDIA products meet the industry leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of DPU SW and DOCA SDK industry-leading features, be able to learn new features, execute manual and automated tests, and engage in automation development.

What you'll be doing:

• Review arch design and requirements for new features introduced in the DPU software and DOCA SDK

• Design, develop, and execute tests for the new features, as part of DPU software GA releases or update releases

• Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed

• Automate newly added tests in the existing automation framework, add new capabilities and features to the framework

• Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency

What we need to see:

• B.A. / B.Sc. in Computer Science or Electrical Engineering

• 0-2 years of experience

• Basic knowledge of Networking

• Hands-on experience with Linux

• Background with scripting languages (Python/Bash/Perl)

• Independent, responsible worker, able to plan and execute

• Clear verbal and written communication, proficient written and spoken English

Ways to stand out from the crowd:

• Experience in Networking, test design and automation

• Proven programming experience in Python

• Familiarity with CUDA SDK

• Experience with QA of SoCs with embedded processors

• Proven experience with automation infrastructure design and plan

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!