NVIDIA

Technology

SeniorASICFrontEndInfrastructureEngineer

$184–357k Santa Clara, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior ASIC Front End Infrastructure Engineer at NVIDIA. Skills: ASIC Front End, Infrastructure Engineering, AI Automation. Deploy AI toolsets at scale. Use ML/DL/AI techniques to automate”

What You'll Achieve.

improve Design team productivity; improve efficiency; drive forecasting; improve design productivity

Industry & Context.

Technology
Problems you'll solve

root causing a flow failure; intermittent, hard to isolate issues; problem-solving; debugging; analytical skills

What They're Looking For.

Must Have

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, Verification domain knowledge with complex ASICs or CPUs, problem-solving, debugging and analytical skills, Good interpersonal skills, ability & desire to work as a great teammate

Nice to Have

using Jenkins

What You'll Do.

Deploy AI toolsets at scale

Use ML/DL/AI techniques to automate

Keep GPU Continuous Integration system

Deploy and improve compute farm technologies

Forecast HW Design compute resource

Deploy tracking metrics

Deploy information security methods

How You'll Work.

Team & Collaboration

work as a great teammate

Full Job Description

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 learning 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 improving efficiency? Can you do that at scale, seamlessly transitioning teams from old flows? Then 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 meth

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