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高级QA软件工程师 - 网络

雇主

NVIDIA

地点

Santa Clara · 美国

待遇

$面议

工作模式

线下

截止日期

1月10日

福利
Equity,Benefitsbenefits package, we are widely considered to be one of the technology world’s m

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岗位摘要

NVIDIA is seeking a Senior QA Software Test Engineer to join the Cumulus Ethernet group, focusing on

岗位职责

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 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.
Good to have ansible knowledge • 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!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 27, 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.

申请条件

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. Good to have ansible knowledge.

雇主简介

NVIDIA is a technology company that designs GPUs and system-on-chip units for gaming, professional visualization, data centers, and automotive markets. The Physics Simulation Team focuses on physics simulation for robotics learning and evaluation.

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数据来源:NVIDIA

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