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NVIDIA seeks a QA Engineer to join the SW/FW testing team in Santa Clara. You will test networking features, develop automated frameworks, and contribute to product quality across multiple domains.
The role combines manual and automated testing, requires knowledge of Linux and scripting, and focuses on the QA part of the software release cycle. Ideal candidates have strong QA methodologies, lab experience, and the ability to plan and execute tests, with a proactive, detail-oriented mindset.
Job Requisition ID JR2025900
Job Category Engineering
Time Type Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a QA engineer to join our SW/FW testing team. This position will be part of our growing team, which enables NVIDIA products to meet the industry-leading benchmarks of efficiency and quality. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged.
As a QA Engineer in this group, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for an ideal candidate with proven QA experience who will be actively involved in testing industry-leading features in the Networking sector, can acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems. The ideal candidate should bring a robust understanding of the SW release cycle and the QA part in it.