Validation and Verification Interconnect Engineer

1 Month ago • 3 Years + • Quality Assurance

Job Summary

Job Description

NVIDIA seeks a Validation and Verification Interconnect Engineer with 3+ years of experience in validation and QA. This role involves collaborating with cross-functional teams to define test requirements, build validation plans, implement automated tests (using tools like Jenkins, RobotFramework), perform manual testing, debug HW/SW failures, deploy tests into nightly automation, report bugs, and improve product validation processes. The engineer will be responsible for setting up lab topologies, ensuring comprehensive product coverage, and addressing business needs through effective validation strategies. Experience with Linux systems, production lines, and programming (Python/C#) is highly advantageous.
Must have:
  • 3+ years Validation/QA experience
  • Automated testing experience
  • Strong problem-solving skills
  • Excellent communication skills
  • Hands-on HW/SW debugging
  • Build validation plans & integrate tests
Good to have:
  • HW and SW QA experience
  • Jenkins/RobotFramework/Jira/Testrail
  • Linux system experience
  • Production line/HW process knowledge
  • Python/C# programming and Data Analysis

Job Details

We seek a V&V Engineer with a strong background in validation to join the Interconnect validation team. This position will be part of the Product Engineering team that crafts and integrates software tests for NVIDIA networking products into the production lines. You will handle various projects across teams, complete new lab setups, build validation plans, implement automated tests, perform manual scenarios, and report bugs. Are you passionate about attention to detail and taking ownership of end-to-end validation for NVIDIA interconnect products? Join our team and bring your expertise to life!

What you'll be doing:

  • Collaborate with multi-functional teams across engineering, software development, and HW to identify test requirements

  • Define and build setups topologies for appropriate product coverage

  • Build a validation plan, complete, and integrate tests for the new interconnect products

  • Debug HW & SW failures during the validation and take action to address it

  • Deploy the product validation into the nightly automation tests and track on daily meeting

  • Report bugs found during validation, assist with reproduction and debugs to understand the root cause and follow up to close it

  • Build plans and handle the validation to address the business needs

What we need to see:

  • BA / BSc in Engineering Science or equivalent experience

  • 3+ years of experience in validation and QA process

  • Hands-on experience with nightly runs and automated tests

  • Strong problem-solving, quantitative, and debugging abilities.

  • Independent, responsible worker, able to plan and complete

  • Excellent communication and presentation abilities.

  • Proficient in English, both written and spoken.

Ways to stand out from the crowd:

  • Experience in QA for both HW and SW application

  • Experience with Jenkins / RobotFramework / Jira / Testrail

  • Hands-On LINUX systems

  • Experience with production lines and HW processes

  • Programming experience in one programming language (Python, C#) as well as experience in Data Analysis

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are 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.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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