NVIDIA is looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for NVIDIA’s IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
What you’ll be doing:
- Design, develop, and execute manual and automated tests as part of software stack releases.
- Define, build, and manage testbed topologies for functional, regression, and performance validation.
- Analyze architectural designs and feature requirements for new networking capabilities.
- Debug failures, identify root causes, and verify fixes delivered by development teams.
- Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
- Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.
- Collaborate with cross-functional global teams including R&D, product marketing, and system verification.
What we need to see:
- B.Sc./ M.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field.
- 2+ years of hands-on experience in QA, preferably with a focus on networking.
- Strong understanding of software testing methodologies, test planning, and bug lifecycle.
- Proficiency in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms.
- Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs).
- Strong analytical and debugging skills with an eye for detail.
- Excellent communication skills, both written and verbal.
Ways to stand out from the crowd:
- Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals.
- Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows).
- In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies.
- Exposure to QA methodologies, release management, and end-to-end test lifecycle.
- Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.
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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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.”
