Senior Physical Design CAD & Methodology Engineer

Apple Inc.; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple Inc. is seeking a Physical Design Methodology CAD Engineer to design and optimize next-generation SoC flows in Santa Clara, CA. You will collaborate with cross-functional teams to resolve complex PD challenges and drive innovative CAD tool development.

You will contribute to high-performance, power-efficient processor design through advanced PD methodologies and GenAI-assisted productivity tools, working with EDA vendors and multiple design groups.

Qualifications

• BS degree plus 10+ years in physical design or CAD methodology.
• Proficiency in Tcl, Python or Perl scripting.
• Experience with CAD flows or PD methodology development.

Responsibilities

• Participate with cross functional teams to tackle physical design challenges.
• Develop innovative solutions in physical design and optimization space.
• Support implementation flows for multiple projects and design teams.
• Develop and maintain custom CAD tools for implementation and signoff.
• Create flows to deploy new technology nodes.
• Develop tools and methodologies for best-in-class PPA and productivity including ML-based solutions.
• Use GenAI tools to develop GenAI applications to improve Design team productivity.
• Collaborate with physical design verification, RC extraction, STA, and other teams.
• Work with EDA tool vendors to resolve issues and identify improvements.

Skills

Tcl scripting

Python scripting

Perl scripting

CAD flow

PD methodology

Education

BS in Electrical Engineering or related field

Tools

PNR tools

EDA tools

GenAI platforms

Job description

Apple Inc. is seeking a Physical Design Methodology CAD Engineer to design and optimize next-generation SoC flows in Santa Clara, CA. You will collaborate with cross-functional teams to resolve complex PD challenges and drive innovative CAD tool development.

You will contribute to high-performance, power-efficient processor design through advanced PD methodologies and GenAI-assisted productivity tools, working with EDA vendors and multiple design groups.