Senior ASIC Front End Infrastructure Engineer

About the role

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.

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 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
• Instrument flows to measure performance and then improve efficiency
• Remove inefficiency wherever you can find it!

Requirements

• 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, for example using Jenkins
• Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologies
• Strong problem-solving, debugging and analytical skills
• Good interpersonal skills and ability & desire to work as a great teammate

Qualifications

• Tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment
• Experience deploying and continuously improving compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at cloud scale
• Experience forecasting HW Design compute resource and EDA needs, with reporting up to the CFO’s office
• Experience deploying tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
• Experience instrumenting flows to measure performance and then improving efficiency

Skills

• Experience with AI tools for development and automation
• Experience with Make based build systems in large, distributed computing environments
• Experience with Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins
• Experience with verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologies

Benefits

• 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.

Pay

• 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.

Schedule

• Not specified

Benefits

• Not specified

Application Instructions

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

Equal Opportunity Employer

• 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.