CAD and Methodology Engineer, Silicon

Meta is seeking a lead CAD and methodology engineer to shape the methodology, EDA, and PDK infrastructure for our AMS custom silicon programs. While supporting AMS design, signal integrity and power integrity, and packaging engineers, you will define and own the CAD flows, PDK deployment, and EDA tool environment. You will support all custom silicon AMS environments across Meta, while building automation frameworks and integrating AI-assisted design tools to accelerate engineering velocity across the silicon team. Responsibilities
Develop and maintain analog/mixed-signal, signal integrity and power integrity, and packaging simulation flow and methodology across various technology nodes Collaborate with foundries in installing, maintaining, and updating on-premise PDK implementations Integrate AI and LLM-assisted coding tools into CAD methodology to improve design automation productivity across the silicon engineering organization Drive and collaborate with EDA tool vendors to evaluate CAD tools/products, validate simulation flows, and enhance the custom design environment Provide technical direction to other engineers on CAD methodology decisions, flow architecture, and implementation best practices across all the AMS programs Communicate implementation status, methodology decisions, and risk assessments to circuit designers, layout engineers, and program leaders Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of industry experience in CAD, PDK, and silicon design methodology across multiple technology nodes and products Proven industry experience in analog CAD/automation support areas involving various technology nodes and tapeouts Proficiency in analog/mixed-signal design environment and simulation tools Experience diagnosing and resolving convergence, accuracy, and simulation speed issues in analog/mixed-signal environments Proficiency in debugging and maintaining high-quality AI scripting artifacts in languages such as SKILL, Python, and Perl, etc Experience communicating methodology decisions, risk assessments, and implementation status to cross-functional partners and external partners such as foundry contacts Familiarity with AI-assisted design tools or LLM-based coding assistants applied to CAD automation or implementation flow development