Gate-level IR/EM CAD/NLP Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
44 days ago

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How this pay compares to similar roles

Similar $200k
$144k most similar roles pay here $252k

This listing doesn't post a salary. Most similar roles pay $174,800–$224,325.

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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Gate-level IR/EM CAD/NLP Engineer

As a senior Gate-level IR/EM CAD/NLP Engineer at Apple’s best-in-class CAD Group, you will develop an advanced analytic platform to identify and recommend solutions for signoff IR/EM analysis using machine learning and large language models. Your day-to-day responsibilities include creating customized reports and dashboards, automating IR/EM analysis flows, collaborating with design groups on their specific requirements, and working closely with EDA vendors to enhance solution efficiency. You will leverage Python, UNIX shell environment, and code revision control systems while applying your expertise in object-oriented programming, data structures, machine learning algorithms, and NLP. This role requires a deep understanding of EDA tools and CAD flow methodologies, as well as the ability to drive initiatives independently within Apple’s large-scale silicon design ecosystem.

What you'll do

  • Develop ML and large language model applications to interact with EDA software.
  • Generate customized reports and dashboards for IR/EM issue identification and solutions.
  • Identify opportunities to automate and streamline IR/EM analysis and signoff flows.
  • Collaborate with design groups on IR/EM requirements for various analysis flows.
  • Work with EDA vendors to enhance and develop solutions for improved efficiency.

What we're looking for

  • Experience in developing object-oriented programs, data structures, and algorithms.
  • Proficiency in machine learning, natural language processing, and large language models.
  • Expertise in EDA Tool, CAD flow, or TFM methodologies.
  • Strong skills in UNIX shell environment, Python, and code revision control.
  • Knowledge of PNR implementation and EMIR analysis flows.
  • Ability to coordinate initiatives with minimal oversight.
  • Experience leading electrical engineering-focused software development projects.

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