Senior ASIC Frontend Infra Engineer - Equity & AI Tooling

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver tooling and environments enabling DV and RTL design for leading GPUs. You will scale AI toolsets, automate infrastructure with ML/AI techniques, and keep the GPU front-end build flow at the cutting edge, aligning with secure, cloud-scale operations.

You will guide compute, storage and network topology, deploy containerized compute farms, forecast resource needs, and contribute to secure design workflows while collaborating closely

Qualifications

• Masters degree and 8+ years of relevant work experience.
• Proficiency in Python, Perl, or other systems programming languages.
• 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).
• Tenacity to root cause and fix intermittent infrastructure problems.
• Verification domain knowledge with ASICs or CPUs using random stimulus, coverage and assertion-based verification methodologies.
• Strong problem-solving, debugging and analytical skills.
• Good interpersonal skills and ability to work as a great teammate.

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.
• Deploy information security methods for HW design.
• Remove inefficiency wherever you can find it!

Skills

Python

Perl

OO design

AI tools

Make

Jenkins

CI pipeline knowledge

Education

Master's degree in Electrical/Computer Engineering/CS

Tools

Make-based build systems

CI tools (Jenkins)

Job description

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver tooling and environments enabling DV and RTL design for leading GPUs. You will scale AI toolsets, automate infrastructure with ML/AI techniques, and keep the GPU front-end build flow at the cutting edge, aligning with secure, cloud-scale operations.

You will guide compute, storage and network topology, deploy containerized compute farms, forecast resource needs, and contribute to secure design workflows while collaborating closely