Physical Design Methodology CAD Engineer

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
1 day ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

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Similar $209k
$137k $277k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $177,237–$241,750.

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 3499 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2707 roles with salary data.

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TL;DR · Physical Design Methodology CAD Engineer

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As a Physical Design Methodology CAD Engineer within the Hardware Technology CAD team, you will contribute to the development of next-generation, high-performance, and power-efficient system-on-chip designs. Your primary responsibilities include developing, maintaining, and supporting implementation flows, custom CAD tools, and methodologies for CPU, GPU, and Analog/Mixed Signal designs. You will explore new technology nodes and stdcells while collaborating with design teams and EDA tool vendors to optimize power, performance, and area. The role requires leveraging Tcl, Python, or Perl scripting languages to build internal methodologies and GenAI applications. You will also apply knowledge of CAD algorithms, machine learning, and physical design analysis, including extraction, timing, noise, physical verification, and EMIR, to improve design productivity across various chip types.

Skills

Physical Design VLSI CAD Tools Tcl Python Perl Static Timing Analysis (STA) RC Extraction Physical Verification EMIR ML GenAI SoC Design

What you'll do

  • Develop and support implementation flows for multiple projects and design teams.
  • Create and maintain custom CAD tools for design implementation and signoff.
  • Develop flows to enable the successful deployment of new technology nodes.
  • Build tools and methodologies to improve PPA and design productivity using ML solutions.
  • Develop GenAI applications to enhance the productivity of the design team.
  • Work directly with EDA tool vendors to resolve issues and identify tool improvements.
  • Develop internal methodologies using CAD algorithms and machine learning.

What we're looking for

  • Bachelor of Science degree is required.
  • Knowledge of Tcl, Python, or Perl scripting languages is required.
  • Good understanding of VLSI or Physical Design basics through previous coursework or internships (preferred).
  • Exposure to CAD tools, CAD flows, or PD methodology (preferred).
  • Understanding of Physical Design analysis including extraction, timing, noise, physical verification, and EMIR (preferred).

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