Senior ASIC Front End Infrastructure Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation seeks elite ASIC Infrastructure engineers to deliver the tooling and environment enabling DV/RTL design for GPUs. You will help scale AI toolsets across HW design teams, automate workflows with ML techniques, and push CI/Source management at cloud scale.

Join a team that effects changes across consumer graphics, AI, self-driving cars, and supercomputers. Expect competitive base salaries with equity and comprehensive benefits; applications accepted through July 27, 2026.

Qualifications

• Master's 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, e.g., Jenkins
• Root-cause analysis in complex computing environments
• Verification domain knowledge with ASICs/CPUs using random stimulus, coverage and assertion-based methodologies
• Strong problem-solving, debugging and analytical skills
• Good interpersonal skills and team orientation

Responsibilities

• 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 speed, flexibility and extensibility of the GPU front end build flow
• Keep the GPU CI system at the cutting edge of source management methodologies
• Guide compute farm, filer, and network topology requirements at cloud scale
• Deploy 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 to CFO’s office
• Deploy tracking metrics to resolve operational issues, forecast and improve design productivity
• Deploy information security methods for HW design
• Remove inefficiency wherever you can find it

Skills

Python

Perl

Systems Programming

Jenkins

CI pipelines

Debugging

Problem solving

Education

Master's degree in Electrical Engineering, Computer Engineering, or Computer Science

Tools

Make-based build systems

Distributed computing

Job description

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment thatenables 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 companyimpactingproduct lines ranging from consumer graphics to artificial intelligence, self-drivingcars,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 likerootcausing a flow failure, even ifit'srare and hard to reproduce,and others have given up?Rapidly learning and deploying best in class internal and industry solutionsincluding AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and thenimprovingefficiency? 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 teamproductivity

• Improve the speed,flexibilityand extensibility of the GPU front end build flow

• Keep the GPU Continuous Integration system at thecutting edgeofsource management methodologies

• Guide compute farm,filer, and network topology requirementsat cloud scale

• Deployand continuously improvecompute farm technologies such as containers, volume cloning, distributedstorageand distributed compute atcloudscale

• 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:

• MastersDegree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience

• 8+ years of relevant work experience

• Programmingproficiencyin 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 isolateissues in a complex computing environment

• Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functionalcoverageand assertion-based verification methodologies

• Strong problem-solving,debuggingand 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 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 July 27, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.