Post-Silicon Validation Infrastructure Tools SW Engineer

1 Month ago • 5 Years + • Quality Assurance

Job Summary

Job Description

NVIDIA seeks a Post-Silicon Validation Infrastructure Tools SW Engineer to contribute to the quality of their GPU and SOC validation tools. Responsibilities involve test planning, execution, and reporting; automating test cases and environment setup using Python and shell scripting; collaborating with developers to identify and resolve software defects; and designing effective test frameworks. The ideal candidate will have a strong background in software QA, automation, and a BS or higher degree in CS/EE/Microelectronics with 5+ years of experience. Knowledge of GPU/SOC validation is a plus.
Must have:
  • 5+ years QA experience
  • Proficient in Unix/Linux and Python/shell scripting
  • Experience in test automation and failure analysis
  • Excellent communication skills
  • Strong problem-solving and data analysis skills
Good to have:
  • Knowledge of GPU/SOC validation
Perks:
  • Highly competitive salaries
  • Comprehensive benefits package

Job Details

NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver outstanding solutions in a wide range of sectors.

We are now looking for a Software QA engineer for Post-Silicon Validation Infrastructure Tools, you will collaborate with multi-functional groups. The SWQA engineer is responsible for test planning, execution, and reporting, you will also write scripts to automate environment setup and regression test for Post-Silicon Infrastructure Tools team. As a SWQA engineer, you must identify weak spots and constantly design better and creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's Post-Silicon Validation Infrastructure Tools and improve test efficiency for silicon characterization.

What you'll be doing:

  • Get familiar with Nvidia verification development environment, flow, and process.
  • Build test plan, design test case, execute and report test progress, bugs, and results to Post-Silicon Validation Infrastructure Tools Developers.
  • Automate test cases and the tools setup environment.
  • Assist in the architecture, crafting and implementing of test frameworks for NVIDIA Post-Silicon Validation Automation Tools.
  • Work with NVIDIA Post-Silicon Validation Infrastructure Developers and Validation Function Teams to identify and resolve software defects.

What we need to see:

  • BS or higher degree or equivalent experience in CS/EE/Microelectronics plus equivalent with 5+ years QA experience.
  • Proficient in Unix/Linux and shell/python programming skills.
  • Rich experience in test cases development, tests automation and failure analysis.
  • Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.
  • Excellent communicator, fluent written and verbal English.
  • Good teamwork with ability to work independently.
  • Knowledge of GPU/SOC validation is a plus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and talented people in the world working with us and our engineering teams are growing fast. If you are passionate about software testing and automation, have a strong background in validation automation, and are excited about working with pioneering technology, we want to hear from you!

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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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