Gate-level IR/EM CAD/NLP Engineer

Apple Inc

Confirmed live yesterday Trusted

Quick summary

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

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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.

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 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 various 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 applying NLP, fine-tuning, retrieval augmented generation, and prompt engineering to tasks like data summarization and chatbot development. You will solve complex technical problems involving static/dynamic IR analysis, signal/power grid extraction, STA timing, and signal/power EM analysis to support physical-design and circuit-design requirements.

What you'll do

  • Develop ML and large language model applications to interact with and explain EDA software.
  • Design and implement ML model 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 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 (preferred).
  • Experience writing machine learning algorithms, implementing NLP, or using large language models 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 flow (preferred).
  • Experience in electrical engineering machine learning applications (preferred).
  • Experience with LLM fine-tuning, retrieval augmented generation, and prompt engineering (preferred).

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