Gate-level IR/EM CAD/NLP Engineer

Apple Inc

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Work type
On-site
Location
Austin, TX
Posted
20 days ago
Freshness
Confirmed live today

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Similar $192k
$141k $240k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,375–$223,000.

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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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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 include building machine learning and large language model applications to interact with EDA software, generating customized reports and dashboards to improve power grid integrity, and automating IR/EM analysis and signoff flows. You will utilize Python, UNIX shell environments, and code revision control to implement algorithms and data structures. The role requires expertise in NLP, fine-tuning, retrieval augmented generation, and prompt engineering alongside traditional silicon design areas like static/dynamic IR analysis, signal/power grid extraction, and STA timing. You will collaborate with design groups and EDA vendors to enhance efficiency and capacity for complex electrical engineering software projects.

What you'll do

  • Develop ML and large language model applications to interact with and explain EDA software.
  • Design and implement software interactions with extensive compute infrastructure.
  • Generate customized reports and dashboards to identify IR/EM issues and power grid solutions.
  • Automate and streamline various IR/EM analysis and signoff flows.
  • Support design groups with specific IR/EM requirements for various analysis flows.
  • Work with EDA vendors to enhance solutions for improved efficiency and capacity.

What we're looking for

  • Bachelor of Science degree.
  • Minimum of 10 years of relevant industry experience.
  • Experience in developing object-oriented programs, utilizing data structures, and writing algorithms (preferred).
  • Experience in writing machine learning algorithms, implementing NLP, or using LLMs in industry applications (preferred).
  • Experience with EDA tools, CAD flows, or Tool Flow Methodology (preferred).
  • Proficiency with UNIX shell environment, Python, and code revision control (preferred).
  • Knowledge of PNR implementation and/or EMIR analysis flows (preferred).
  • Experience with LLM fine-tuning, retrieval augmented generation, and prompt engineering (preferred).

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