Senior ASIC Front End Infrastructure Engineer at Nvidia
Austin, TX 73301
About the Job
NVIDIA is seeking elite ASIC RTL/Verification ASIC engineers to develop the core Verification and RTL infrastructure of the world's leading GPUs
This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence to 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? 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!What you'll be doing:Define and deploy ML/AI techniques to improve Infrastructure efficiency and supportImprove the speed, flexibility and extensibility of the GPU front end build flowKeep the GPU Continuous Integration system at the cutting edge of industry techniquesGuide compute farm, filer, and network topology requirementsDeploy new compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at scaleDeploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivityDeploy information security methods for HW designRemove inefficiency wherever you can find it!What we need to see:Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience5+ years of relevant work experienceProgramming proficiency in Python, Perl, or other Systems Programming language
OO design preferred.Experience with Make based build systems in large, distributed computing environmentsContinuous Integration pipeline and/or pre-submit verification flow experience, for example using JenkinsYou should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environmentVerification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologiesStrong problem-solving, debugging and analytical skillsGood interpersonal skills and ability & desire to work as a great teammateNVIDIA 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.The base salary range is 128,000 USD - 356,500 USD
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits
NVIDIA accepts applications on an ongoing basis
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, NC, DurhamType: Full time
This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence to 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? 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!What you'll be doing:Define and deploy ML/AI techniques to improve Infrastructure efficiency and supportImprove the speed, flexibility and extensibility of the GPU front end build flowKeep the GPU Continuous Integration system at the cutting edge of industry techniquesGuide compute farm, filer, and network topology requirementsDeploy new compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at scaleDeploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivityDeploy information security methods for HW designRemove inefficiency wherever you can find it!What we need to see:Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience5+ years of relevant work experienceProgramming proficiency in Python, Perl, or other Systems Programming language
OO design preferred.Experience with Make based build systems in large, distributed computing environmentsContinuous Integration pipeline and/or pre-submit verification flow experience, for example using JenkinsYou should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environmentVerification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologiesStrong problem-solving, debugging and analytical skillsGood interpersonal skills and ability & desire to work as a great teammateNVIDIA 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.The base salary range is 128,000 USD - 356,500 USD
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits
NVIDIA accepts applications on an ongoing basis
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer
As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.SummaryLocation: US, CA, Santa Clara; US, TX, Austin; US, NC, DurhamType: Full time
