Physical Design Methodology CAD Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$150,400–$277,600 / yr
Posted
4 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $210k
This role $214k
$135k $293k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $177,250–$241,750 — the blue band above. At the midpoint, this role pays about $214k versus about $210k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Physical Design Methodology CAD Engineer

The Physical Design Methodology CAD Engineer joins the Hardware Technology CAD team to support the development of next-generation, high-performance, power-efficient system-on-chip designs. This role involves developing, maintaining, and supporting implementation flows, custom CAD tools, and methodologies for CPU, GPU, and Analog/Mixed Signal designs. The engineer will explore new technology nodes and stdcells while collaborating with design teams and tool vendors to improve PPA and design productivity. Key responsibilities include creating flows for physical design optimization, working with RC extraction, IR, and static timing analysis, and leveraging GenAI tools to develop applications for design productivity. Required skills include experience in CAD tools or PD methodology and proficiency in Tcl, Python, or Perl scripting. The role focuses on solving complex physical design challenges across various chip types.

What you'll do

  • Develop and support implementation flows for multiple projects and design teams.
  • Create and maintain custom CAD tools for physical design implementation and signoff.
  • Build flows to enable the successful deployment of new technology nodes.
  • Develop tools and methodologies to optimize PPA and design productivity using ML-based solutions.
  • Use GenAI tools to develop applications that improve design team productivity.
  • Work directly with EDA tool vendors to resolve issues and identify areas for tool improvement.
  • Develop internal methodologies using an understanding of CAD algorithms and machine learning.

What we're looking for

  • Experience in CAD Tool, CAD flow, or PD methodology.
  • Knowledge of Tcl, Python, or Perl scripting languages.
  • Minimum of a BS degree plus 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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