VLSI Design Automation Software Engineer

Job Title

VLSI Design Automation Software Engineer

Role Summary

Manage and maintain VLSI compute and storage infrastructure for the Backend Networking team, and develop automation, dashboards, and AI-assisted engineering workflows to improve developer productivity and infrastructure reliability.

Collaborate with a remote team in Israel and other DA teams across the development lifecycle: design, test, deploy, and maintain infrastructure tools.

Experience Level

Mid-level; minimum 3 years' experience in VLSI Design Automation.

Responsibilities

Primary responsibilities include infrastructure operations, automation, monitoring, and collaboration with distributed teams.

• Oversee and optimize compute and storage resources to support VLSI projects.
• Develop and maintain scripts, automation tools, and AI-assisted workflows to streamline infrastructure tasks.
• Design, implement, and maintain dashboards and reporting for infrastructure performance and usage.
• Coordinate with a remote team in Israel to ensure smooth communication and task handoff.
• Participate in full lifecycle development of infrastructure tools: design, testing, deployment, and maintenance.
• Collaborate with other team members and DA teams to implement software solutions and agentic coding practices using modern AI tools.

Requirements

Must-have:

• Minimum 3 years' experience with VLSI Design Automation.
• Strong proficiency with Unix.
• Proven experience in at least two programming languages, including Python, and scripting.
• Experience working with AI coding assistants, agentic development workflows, or productivity-enhancing automation tools.
• Good debugging and problem-solving skills.
• Strong interpersonal skills and ability to work in a diverse team.
• Experience developing automation, dashboards, and infrastructure tooling.

Nice-to-have:

• Background with SQL and LSF scheduler.
• Experience with GUI and Unix/web application development.
• Familiarity with React.
• Hands-on experience with AI tools such as Cursor and Claude Code.
• Experience building internal coding agents or integrating AI into engineering workflows.

Education Requirements

Bachelor's degree in computer science or computer engineering, 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.