Senior ASIC Front End Infrastructure Engineer

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment that   enables DV and RTL Design for the world's leading GPUs. This position offers the opportunity to have a real impact on a dynamic, technology-focused company   impacting   product lines ranging from consumer graphics to artificial intelligence, self-driving   cars,   and supercomputers.     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 ,   and others have given up ?   Rapidly l earning and deploying best in class internal and industry solutions   including AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and then   improv ing   e fficiency? Can you do that at scale, seamlessly transitioning teams from old flows?   T hen join us!   What you'll be doing: • Deploy AI toolsets at scale in secure configurations for use by all HW Design teams   • Use ML/DL/AI techniques to automate Infrastructure work and improve Design team   productivity   • Improve the speed,   flexibility   and extensibility of the GPU front end build flow   • Keep the GPU Continuous Integration system at the   cutting edge   of   source management methodologies   • Guide compute farm,   filer , and network topology requirements   at cloud scale   • Deploy   and continuously improve   compute farm technologies such as containers, volume cloning, distributed   storage   and distributed compute at   cloud   scale   • Forecast HW Design compute resource and EDA needs, with reporting up to the CFO’s office   • 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 using AI tools for development and automation   • 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     NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the most sophisticated chips in the world? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You wil