NVIDIA is looking for a top-tier Software Test Engineer to join the NVIDIA-Cumulus Linux Verification Engineering Team! You will play an exciting role that allows you to lead verification of groundbreaking features and platforms of NVIDIA-Cumulus Linux and take full ownership of tasks involved like participating in requirements and design reviews, developing test plans for the platform or features, test execution, and automated test development for the specific platforms or features. You will be part of a dynamic Software Verification Team responsible for the qualification of the Network Operating System software that powers data centers that are accelerated, disaggregated, and software-defined to meet the exploding growth in AI and high-performance computing.
What you'll be doing:
Platforms Bring up: New platforms which are part of Spectrum series Ethernet Switch Systems.
Functional Testing of various Layer1, Layer2 and Layer3 features of NVIDIA-Mellanox Spectrum series Ethernet Switch systems running NVIDIA-Cumulus Linux.
Understand the new platform components and write detailed feature and system test plans, and define and design test beds and topologies.
Report issues found during testing into the defect tracking system and validate the fixes and workarounds.
Develop automated test suites for different features of NVIDIA-Cumulus Linux.
Build and maintain automation required to ensure quality via continuous functional regression.
Collaborate with design, test and other internal engineering groups to identify, report, and resolve issues found during testing.
What we need to see:
B.S degree or equivalent experience in Engineering/Computer Science/related field.
8+ years of proven experience in Software Quality Engineering.
Strong technical abilities, problem-solving, design, coding, and debugging skills.
Hands-on experience on Layer 2 and Layer 3 routing features.
Hands-on experience on switch platform or ASIC features, firmwares and upgrades.
Expertise with CPLD, BIOS, SecureBoot, SSD testing.
Experience with using test tools from Ixia or Spirent and working experience with test management tools.
Expertise in telemetry features.
Strong skills in Python or other scripting languages are a must.
Good experience working on Unix or Linux-based OS with solid understanding of software engineering practices.
Ways to stand out from the crowd:
Knowledge in performance testing and troubleshooting performance issues.
Expertise in BMC(Baseboard Management Control), Liquid Cool systems, thermal algorithms, Optics etc.
Experience with CI methodology & tools (Git, Gerrit, Jenkins, etc.)
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- B.S. degree or equivalent experience in Engineering/Computer Science/related field.
- 8+ years of proven experience in Software Quality Engineering.
- Strong technical abilities in problem-solving, design, coding, and debugging.
- Hands-on experience with Layer 2 and Layer 3 routing features.
- Hands-on experience with switch platforms or ASIC features, firmwares and upgrades.
- Expertise with CPLD, BIOS, SecureBoot, and SSD testing.
- Experience using test tools such as Ixia or Spirent and test management tools.
- Expertise in telemetry features.
- Strong skills in Python or other scripting languages.
- Experience with Unix or Linux-based OS and software engineering practices.
- Knowledge in performance testing and troubleshooting performance issues.
- Expertise in BMC, liquid cooling systems, thermal algorithms, and optics.
- Experience with CI methodology and tools (Git, Gerrit, Jenkins).
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.
-
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.
-
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.
-
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.”
.png){kind=logo}
