Job description

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 . Applications for this job will be accepted at least until September 19, 2026. 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.

Requirements

Must-haves

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.
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.
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.)
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

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