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Senior ASIC Front End Infrastructure Engineer

NVIDIA

Engineering & Technology

IT & Telecoms GHS Confidential
2 months ago

Job Summary

Our team of dedicated Infrastructure engineers continuously upgrades the NVIDIA Hardware design environment. We focus relentlessly on Infrastructure improvement so that HW designers can focus relentlessly on their jobs, with Infrastructure that “just works” at worldwide scale and peak performance. Do you like root causing a flow failure, even if it’s rare and hard to reproduce? Learning and deploying best in class internal and industry solutions? Instrumenting flows to measure performance and then improving efficiency? Can you do that at scale, seamlessly transitioning teams from old flows? Then join us!

  • Minimum Qualification: MBA / MSc
  • Experience Level: Senior level
  • Experience Length: 5 years

Job Description/Requirements

What You Will 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
  • 5+ 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


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