Gate-level IR/EM CAD/NLP Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 20 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $214k

$135k $293k

below market most similar roles pay here above market

This role pays more than 67% of similar roles. Most pay $162,000–$223,000 — the blue band above. At the midpoint, this role pays about $214k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

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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At a glance

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

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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 understand and interact with EDA software, generating customized reports to improve power grid integrity, and automating IR/EM analysis and signoff flows. You will collaborate with design groups and EDA vendors to enhance efficiency and capacity. Required skills include proficiency in Python, UNIX shell environments, and code revision control, alongside experience in object-oriented programming, data structures, and algorithms. You must possess knowledge of NLP, LLM fine-tuning, retrieval augmented generation, and prompt engineering, specifically applied to electrical engineering, PNR implementation, and EMIR analysis flows.

Skills

Machine Learning Large Language Models Python NLP EDA IR/EM Analysis STA PNR UNIX Data Structures Algorithms Retrieval Augmented Generation Prompt Engineering TFM Signoff Flow

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 develop solutions that improve efficiency and capacity.

What we're looking for

Bachelor's degree and a minimum of 3 years of relevant industry experience.
Experience in developing object-oriented programs, utilizing data structures, and writing algorithms (preferred).
Experience 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 in electrical engineering machine learning applications (preferred).
Experience with LLM fine-tuning, retrieval augmented generation, and prompt engineering (preferred).

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