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 and Spectrum-X AI Solution. 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. The rule will include lab-activity and setups installation.
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
Setup and install new switches /servers in lab including network configuration
Hardware/Firmware related testing for new new and legacy systems
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
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
Experience IT and Switch/Server installation including operation systems
Proficiency with tools like HP ALM
Good experience working on Unix or Linux based OS
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.)
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!
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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.”
