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Nvidia Senior System Validation Engineer 
Vietnam, Hanoi 
174286693

29.04.2025
US, CA, Santa Clara
US, TX, Austin
US, TX, Remote
US, NC, Durham
US, OR, Remote
time type
Full time
posted on
Posted Today
job requisition id

What you'll be doing:

  • Define and deploy ML/AI techniques to improve Infrastructure efficiency and support

  • Improve the speed, flexibility and extensibility of the GPU front end build flow

  • Keep the GPU Continuous Integration system at the cutting edge of industry techniques

  • Guide compute farm, filer, and network topology requirements

  • Deploy new compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at scale

  • Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity

  • Deploy information security methods for HW design

  • Remove inefficiency wherever you can find it!

What we need to see:

  • Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience

  • 8+ years of relevant work experience

  • Programming proficiency in Python, Perl, or other Systems Programming language. OO design preferred.

  • Experience with Make based build systems in large, distributed computing environments

  • Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins

  • You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment

  • Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologies

  • Strong problem-solving, debugging and analytical skills

  • Good interpersonal skills and ability & desire to work as a great teammate

You will also be eligible for equity and .