Senior ASIC Front-End Infra Engineer: AI Tooling at Scale

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 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.