Gate-level IR/EM CAD/NLP Engineer

Apple Inc

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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 Gate-level IR/EM CAD/NLP Engineer at Apple, you will join the best-in-class CAD Group to develop an advanced analytic platform for identifying and recommending solutions to signoff IR/EM analysis. Your day-to-day responsibilities include creating innovative ML and large language model applications that interact with EDA software and extensive compute infrastructure, generating customized reports and dashboards, automating IR/EM analysis flows, and collaborating closely with design groups and EDA vendors. You will need experience in developing object-oriented programs, machine learning algorithms, NLP, and proficiency in UNIX shell environment, Python, and code revision control. Preferred qualifications include knowledge of PNR implementation, EMIR analysis flow, electrical engineering ML applications, and large language models. This role involves working on cutting-edge silicon design challenges to deliver state-of-the-art processors for Apple products.

What you'll do

  • Develop ML and LLM applications to interact with EDA software.
  • Generate reports and dashboards for IR/EM issue identification and solutions.
  • Automate and streamline IR/EM analysis and signoff flows.
  • Collaborate with design groups on IR/EM requirements and analysis flows.
  • Work with EDA vendors to enhance solution efficiency and capacity.

What we're looking for

  • Experience in developing object-oriented programs using data structures and algorithms.
  • Proficiency in writing machine learning algorithms and implementing natural language processing (NLP).
  • Knowledge of EDA Tool, CAD flow, or TFM (Tool Flow Methodology) required.
  • Strong skills in UNIX shell environment, Python programming, and code revision control.
  • Experience with PNR implementation and/or EMIR analysis flows preferred.
  • Ability to coordinate and drive initiatives independently.

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