Gate-level IR/EM CAD/NLP Engineer

Apple Inc

Confirmed live 2 days ago Trusted

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Work type
On-site
Location
Austin, TX
Posted
142 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $192k
$142k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $167,300–$216,562.

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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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

As a Gate-level IR/EM CAD/NLP Engineer within the CAD Group, you will develop an analytic platform to identify and recommend solutions for signoff IR/EM analysis. Your daily responsibilities involve building machine learning and large language model applications to interpret and interact with EDA software, creating customized reports and dashboards to improve power grid integrity, and automating various IR/EM analysis and signoff flows. You will collaborate with design groups and EDA vendors to enhance efficiency and capacity. The role requires proficiency in Python, UNIX shell environments, and code revision control, alongside experience in object-oriented programming, data structures, and algorithms. Key technical domains include NLP, LLM fine-tuning, retrieval augmented generation, prompt engineering, and traditional silicon design areas such as static/dynamic IR analysis, signal/power grid extraction, STA timing, and signal/power EM analysis.

What you'll do

  • Develop ML and LLM applications to interpret, explain, and interact with EDA software.
  • Design and implement the integration of these models into existing compute infrastructure.
  • Create customized reports and dashboards to identify IR/EM issues and recommend power grid solutions.
  • Automate and streamline various IR/EM analysis and signoff workflows.
  • Support design groups by addressing their specific requirements for various analysis flows.
  • Work with EDA vendors to develop solutions that improve tool efficiency and capacity.

What we're looking for

  • Bachelor of Science degree and at least 3 years of relevant industry experience.
  • Experience developing object-oriented programs, utilizing data structures, and writing algorithms.
  • Experience implementing machine learning algorithms, natural language processing (NLP), or large language models in industrial applications.
  • Proficiency with Python, UNIX shell environment, and code revision control.
  • Experience with EDA tools, CAD flows, or Tool Flow Methodology (TFM).
  • Knowledge of PNR implementation and/or EMIR analysis flow.
  • Experience with LLM fine-tuning, retrieval augmented generation, and prompt engineering.
  • Strong communication skills and the ability to drive initiatives with little oversight.

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