Senior ASIC Frontend Infra Engineer: AI-Scale Automation

NVIDIA Corporation; Santa Clara (CA); Presencial; USD 184.000 - 357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Benefits

Descripción de la vacante

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver tooling and the environment that enables DV and RTL Design for the world’s leading GPUs. This role offers impact across products from consumer graphics to AI, self-driving cars, and supercomputers.

Join a team that upgrades the hardware design environment at scale, focusing on infrastructure that just works for HW designers worldwide, with rapid root-cause analysis and scalable solutions.

Formación

• Masters degree in Electrical/Computer Engineering or Computer Science required.
• 8+ years of relevant work experience.
• Programming proficiency in Python, Perl, or other systems programming languages; OO design preferred.
• Experience using AI tools for development and automation.
• Experience with Make-based build systems in large, distributed computing environments.
• CI pipelines and/or pre-submit verification flow experience (e.g., Jenkins).
• Tenacity to root cause and fix infrastructure issues in complex environments.
• Verification domain knowledge with ASICs or CPUs using random stimulus, coverage, and assertions.

Responsabilidades

• Deploy AI toolsets at scale in secure configurations for HW design teams.
• Use ML/DL/AI techniques to automate infrastructure work and improve design productivity.
• Improve speed, flexibility and extensibility of the GPU front-end build flow.
• Maintain cutting-edge CI systems and source management practices.
• Guide compute farm, filer, and network topology at cloud scale.
• Deploy and improve compute farm technologies (containers, cloning, distributed storage).
• Forecast HW design compute resources and provide CFO-facing reporting.
• Deploy tracking metrics to resolve issues, drive forecasting, and improve productivity.
• Deploy information security methods for HW design.
• Remove inefficiency wherever possible.

Conocimientos

Python

Perl

Systems programming

AI tooling

Jenkins

Make

Educación

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

Herramientas

Make

Jenkins

Descripción del empleo

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver tooling and the environment that enables DV and RTL Design for the world’s leading GPUs. This role offers impact across products from consumer graphics to AI, self-driving cars, and supercomputers.

Join a team that upgrades the hardware design environment at scale, focusing on infrastructure that just works for HW designers worldwide, with rapid root-cause analysis and scalable solutions.