Physical Design CAD Engineer – Methodology & GenAI

Apple Inc.; Northern, San Diego (KY, CA); On-site; USD 123,000 - 185,000; Full time

Benefits offered by this job

Medical & dental coverage

Employee stock programs

Tuition reimbursement

Relocation assistance

Discounted products

Job summary

Apple Inc. is seeking a Physical Design Methodology CAD Engineer to develop flows and tools for next-generation CPU, GPU, and SoC designs. You will work on high-performance, power-efficient architectures and partner with design teams and tool vendors to enhance PPA and productivity.

You will explore new technology nodes, build internal CAD methodologies, and leverage GenAI to drive automation and faster design cycles while contributing across the EDA and physical design verification ecosystem.

Qualifications

• Knowledge of Tcl, Python or Perl scripting languages.
• Minimum requirement of BS.

Responsibilities

• Participating and engaging with cross functional teams to tackle key physical design challenges.
• Developing innovative solutions in physical design and optimization space.
• Developing and supporting implementation flows for multiple projects and design teams.
• Developing and maintaining custom CAD tools for implementation and signoff.
• Creating flows to enable successful deployment of new technology nodes.
• Developing tools and methodologies for best-in-class PPA and productivity including ML based solutions.
• Use and leverage GenAI tools to develop GenAI applications to improve Design team productivity.
• Collaborating with other teams such as physical design verification, RC extraction, IR and static timing analysis (STA).
• Working directly with EDA tool vendors to resolve tool issues and identify areas for tool improvements.

Skills

Tcl

Python

Perl

Education

BS

Tools

CAD Tool

PD methodology

Job description

Apple Inc. is seeking a Physical Design Methodology CAD Engineer to develop flows and tools for next-generation CPU, GPU, and SoC designs. You will work on high-performance, power-efficient architectures and partner with design teams and tool vendors to enhance PPA and productivity.

You will explore new technology nodes, build internal CAD methodologies, and leverage GenAI to drive automation and faster design cycles while contributing across the EDA and physical design verification ecosystem.