Senior ASIC Front End Infrastructure Engineer

Job Title

Senior ASIC Front End Infrastructure Engineer

Role Summary

Design, deploy, and maintain the infrastructure and tooling that enable RTL and DV teams to build and verify NVIDIA GPUs at scale. The role focuses on CI/CD for hardware, compute farm and storage architecture, automation using AI/ML techniques, and operational instrumentation to improve design throughput and reliability.

Experience Level

Senior-level; 8+ years of relevant work experience.

Responsibilities

Key responsibilities include operating and improving front-end build and verification infrastructure, deploying AI-assisted automation, and supporting large-scale compute and storage environments.

• Deploy AI toolsets at scale in secure configurations for hardware design teams.
• Apply ML/DL/AI techniques to automate infrastructure tasks and improve productivity.
• Improve speed, flexibility, and extensibility of the GPU front-end build flow.
• Maintain and advance the GPU Continuous Integration system and source management practices.
• Define compute farm, filer, and network topology requirements at cloud scale.
• Deploy and optimize container platforms, volume cloning, distributed storage, and distributed compute.
• Forecast hardware-design compute and EDA resource needs and produce management reporting.
• Instrument flows with tracking metrics to resolve operational issues and improve forecasting.
• Implement information security practices for hardware design environments.
• Investigate and resolve intermittent or hard-to-reproduce flow failures; remove operational inefficiencies.

Requirements

Must-have technical skills and experience; a few preferred items noted.

• 8+ years of relevant work experience (senior-level).
• Programming proficiency in Python, Perl, or another systems programming language; object-oriented 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 pre-submit verification flow experience (for example, Jenkins).
• Verification domain knowledge for complex ASICs or CPUs (random stimulus, functional coverage, assertion-based verification).
• Strong problem-solving, debugging, and analytical skills; persistence in root-cause analysis.
• Good interpersonal skills and ability to work effectively on cross-functional teams.

Education Requirements

Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.