Design Automation Engineer (TFM/EDA)

Intel•Folsom, CA

10h•Hybrid

About The Position

As a Design Automation Engineer at Intel Foundry, you will help enable and optimize design environments that support advanced semiconductor development. The role focuses on installing, maintaining, and providing technical support for design automation scripts, front-end and back-end tools, workflows, and licenses. You will help integrate new tools and methods and improve the efficiency and effectiveness of design processes. The Infrastructure and Solutions team delivers scalable solutions that support Intel engineering teams and next-generation product design.

Requirements

U.S. citizenship is required.
Ability to obtain a U.S. Government Security Clearance at the TS/SCI level.
Bachelor's degree in a relevant field and 6 or more years of hands-on infrastructure and DevOps experience, or a master's degree and 4 or more years of experience, or a Ph.D. and 2 or more years of experience.
Experience with front-end and back-end EDA tools, flows, and methodologies, including debugging and problem-solving.
Knowledge of physical design optimization and TFM tool flows and methodologies.
Experience with scripting languages such as Tcl, Perl, and Python, and familiarity with Verilog or VHDL.
Expertise in Linux-based environments, including bash and tcsh.

Nice To Haves

Hands-on experience installing industry-standard front-end and back-end EDA tools.
Experience installing foundry PDKs and flows, including tools such as Cheetah.
Experience with debugging and design automation.

Responsibilities

Resolve tool and methodology issues encountered along the design path to TapeOut.
Provide training and documentation support for design ramp-up activities.
Collaborate with EDA providers to ensure tool features meet project quality expectations.
Partner with PDK and library experts, flow development teams, and product design teams to improve workflows.
Work with engineering compute teams to provision adequate compute capacity and troubleshoot related issues.
Develop automation to install and optimize design environments, including PDKs, EDA tools, and licenses.
Integrate new tools and methods into existing workflows and support their scalability and adoption across design teams.