Senior QA Software Engineer - Networking

Posted 2 Days Ago
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior QA Software Engineer, you will be responsible for testing Ethernet Switch/Router systems, developing test plans, automating test suites, and collaborating with engineering teams to ensure high-quality Cumulus Linux features. You will utilize strong problem-solving and technical skills to identify and resolve issues.
Summary Generated by Built In

NVIDIA is looking for a top-tier Senior QA Software Test Engineer to join the NVIDIA-Cumulus system Ethernet group. This position will be part of our QA team while the main goal is testing of our Ethernet Switch/Router. You will be participating in requirements and design reviews, developing test plans, test execution, and automated test development for the specific features of Cumulus Linux. Team is involved in the AI & Spectrum-X solution testing.

What you'll be doing:

  • Functional / System Testing of various Layer2 and Layer3 features of NVIDIA-Mellanox Spectrum series Ethernet Switch systems running NVIDIA-Cumulus Linux

  • Writing detailed feature and system test plans, defining and designing test beds and topologies

  • Identifying and reporting issues found during testing into the defect tracking system and validating the fixes and workarounds

  • Developing automated test suites for different features of NVIDIA-Cumulus Linux

  • Building and maintaining automation required to ensure quality via continuous functional regression

  • Collaborating with design, test and other internal engineering groups to identify, report and resolve

What we need to see:

  • B.S. degree in Engineering/Computer Science/related field, or equivalent experience

  • 5+ years of demonstrable experience in Software Quality Engineering

  • Strong skills in Python or other scripting languages is a must

  • Strong technical abilities, problem solving, designing, coding and debugging skills

  • Hands on experience on any L2 and L3 protocols like MLAG, VLAN, STP, OSPF, BGP, EVPN etc

  • Experience with using test tools from Ixia or Spirent and working experience in test management

  • Proficiency with tools like HP ALM

  • Good experience working on Unix or Linux based OS

  • Great teammate with multi-tasking ability and good interpersonal skills

  • Solid foundation in and understanding of software engineering practices

Ways to stand out from the crowd:

  • Experience with bring up and troubleshooting of Ethernet interfaces and modules

  • Knowledge in performance testing and solving problems performance issues

  • 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 best-in-class 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!

The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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