Physical Design Methodology CAD Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$142,300–$263,300 / yr
Posted
15 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $214k
This role $203k
$126k most similar roles pay here $291k

This role pays less than 60% of similar roles. Most pay $177,300–$250,812 — the shaded band above. At the midpoint, this role pays about $203k versus about $214k for comparable roles.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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At a glance

TL;DR · Physical Design Methodology CAD Engineer

As a Physical Design Methodology CAD Engineer within the Hardware Technology CAD team, you will develop flows, tools, and methodologies to support next-generation high-performance, power-efficient SoC designs. Your daily responsibilities include creating custom CAD tools for implementation and signoff, developing solutions for physical design optimization, and building methods to enable new technology nodes and stdcells. You will collaborate with cross-functional teams and EDA tool vendors to improve PPA and design productivity while integrating machine learning and GenAI applications into the workflow. The role requires proficiency in Tcl, Python, or Perl scripting languages, along with experience in CAD tools, flow, or physical design methodology. You will address complex technical challenges involving extraction, timing, noise, physical verification, and EMIR to ensure successful deployment across various chip types including CPU, GPU, and Analog/Mixed Signal designs.

What you'll do

  • Develop and maintain custom CAD tools for physical design implementation and signoff.
  • Create automated flows to enable the deployment of new technology nodes and standard cells.
  • Build methodologies and tools to optimize Power, Performance, and Area (PPA) for SoC designs.
  • Develop GenAI applications and machine learning solutions to improve design team productivity.
  • Support implementation flows across multiple projects and diverse design teams.
  • Work with EDA tool vendors to resolve technical issues and identify areas for tool improvement.
  • Integrate physical design verification, RC extraction, IR, and static timing analysis into CAD workflows.

What we're looking for

  • Experience in CAD tools, CAD flows, or physical design methodology.
  • Knowledge of Tcl, Python, or Perl scripting languages.
  • Bachelor's degree and at least 3 years of relevant industry experience.
  • Hands-on knowledge of industry standard PNR tools (preferred).
  • Hands-on experience with high performance and low power implementation flows (preferred).
  • Understanding of physical design analysis including extraction, timing, noise, physical verification, and EMIR (preferred).

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