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. in Computer Science, Information Systems, Electrical Engineering, or related technical field.
1-3 years of hands-on experience in the field of QA testing
Strong understanding of software testing methodologies, test planning, and bug lifecycle.
Hands-on experience 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.
Clear verbal, proficient written and spoken English
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).
Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence.
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.
Skills Required
- Bachelor of Science degree in Computer Science, Information Systems, Electrical Engineering, or a related technical field
- 1-3 years of hands-on QA testing experience
- Strong understanding of software testing methodologies, test planning, and bug lifecycle
- Hands-on automation scripting experience with Python, Perl, or Shell on Unix/Linux platforms
- Familiarity with networking concepts, protocols, and devices such as switches and NICs
- Strong analytical and debugging skills with attention to detail
- Clear verbal and proficient written and spoken English
- Experience with Python automation and source control tools such as Git and Gerrit
- Solid knowledge of Linux and kernel internals
- Experience with virtualized and mixed computing environments, including KVM, VMware, Linux, and Windows
- Experience using generative AI platforms or LLMs such as Gemini, Claude, or Copilot
- In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies
- Exposure to QA methodologies, release management, and the end-to-end test lifecycle
- Familiarity with NVIDIA technologies such as InfiniBand, NVLINK, and GPUs
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
