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 May 30, 2026.
This posting is for an existing vacancy.
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.
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
