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Senior ASIC Front End Infrastructure Engineer

NVIDIA
Posted 4 months ago, valid for 11 days
Location

Santa Clara, CA 95052, US

Salary

$184,000 - $356,500 per year

Contract type

Full Time

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Sonic Summary

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  • NVIDIA is looking for elite ASIC Infrastructure engineers to enhance the tooling and environment for DV and RTL Design for leading GPUs.
  • Candidates should possess a Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, along with 8+ years of relevant work experience.
  • The role involves deploying AI toolsets, improving design productivity, and maintaining cutting-edge continuous integration systems at scale.
  • The base salary ranges from 184,000 USD to 287,500 USD for Level 4 and 224,000 USD to 356,500 USD for Level 5, with additional equity and benefits.
  • NVIDIA values diversity and is committed to equal opportunity in hiring and promotion practices.

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment thatĀ 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 companyĀ impactingĀ product lines ranging from consumer graphics to artificial intelligence, self-drivingĀ cars,Ā and supercomputers.Ā 

Ā 

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 ā€œjust worksā€ at worldwide scale and peak performance. Do you likeĀ rootĀ causing a flow failure, even ifĀ it’sĀ rare and hard to reproduce,Ā and others have given up?Ā Rapidly learning and deploying best in class internal and industry solutionsĀ including AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and thenĀ improvingĀ efficiency? Can you do that at scale, seamlessly transitioning teams from old flows?Ā Then join us!Ā 

What you'll be doing:

  • Deploy AI toolsets at scale in secure configurations for use by all HW Design teamsĀ 

  • Use ML/DL/AI techniques to automate Infrastructure work and improve Design teamĀ productivityĀ 

  • Improve the speed,Ā flexibilityĀ and extensibility of the GPU front end build flowĀ 

  • Keep the GPU Continuous Integration system at theĀ cutting edgeĀ ofĀ source management methodologiesĀ 

  • Guide compute farm,Ā filer, and network topology requirementsĀ at cloud scaleĀ 

  • DeployĀ and continuously improveĀ compute farm technologies such as containers, volume cloning, distributedĀ storageĀ and distributed compute atĀ cloudĀ scaleĀ 

  • Forecast HW Design compute resource and EDA needs, with reporting up to the CFO’s officeĀ 

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

  • Deploy information security methods for HW designĀ 

  • Remove inefficiency wherever you can find it!Ā 

What we need to see:

  • MastersĀ Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experienceĀ 

  • 8+ years of relevant work experienceĀ 

  • ProgrammingĀ proficiencyĀ in Python, Perl, or other Systems Programming language. OO design preferred.Ā 

  • Experience using AI tools for development and automationĀ 

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

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

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

  • Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functionalĀ coverageĀ and assertion-based verification methodologiesĀ 

  • Strong problem-solving,Ā debuggingĀ and analytical skillsĀ 

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

Ā 

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 the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 2026.

This posting is for an existing vacancy.Ā 

NVIDIA uses AI tools in its recruiting processes.

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.




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By applying, a NVIDIA account will be created for you. NVIDIA's Privacy Policy and Terms & Conditions will apply.

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