We are looking for a Software QA Engineer to join our Bluefield DPU 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
1-3 years of proven experience as a Software QA Engineer
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!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
