Nvidia is seeking a Software QA Automation Engineer to join our Storage team. In this role, you will be part of the QA Automation group, focusing on testing in the areas of Storage, Linux, and Networking – ensuring NVIDIA products achieve industry-leading benchmarks in efficiency and quality. The ideal candidate will work on testing Storage and Networking drivers, quickly adapt to new features, and perform both manual and automated test execution.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Developing & Writing automation infrastructure in multiple frameworks. Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures
What we need to see:
Practical / B.A. / B.Sc. in Computer Science or Electrical Engineer or equivalent experience
4+ years of experience in the field of QA automation testing
4+ years of Hands-on experience in scripting and automation languages such as Python, PyTest, or Bash
3+ years of Hands-on experience with Linux systems and Networking environments
Independent, responsible worker, able to plan and execute
Clear verbal, proficient written and spoken English
Ways to stand out from the crowd:
Knowledge in Virtualization and Storage
Experience in working with Traffic tools (FIO, DD etc)
Experience in working with PyTest and leading system designs.
Hands-on experience or familiarity with CI/CD pipelines using Jenkins or GitLab
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.
Top Skills
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.”
