Gate-level IR/EM CAD/NLP Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$147,400–$272,100 / yr
Posted
44 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $200k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 60% of similar roles. Most pay $174,800–$224,325 — the shaded band above. At the midpoint, this role pays about $210k versus about $200k 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 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’s best-in-class CAD Group, you will develop an analytic platform using machine learning and large language models to enhance the accuracy and efficiency of silicon design feedback. Your day-to-day responsibilities include creating customized reports for identifying and solving IR/EM issues, automating analysis flows, and collaborating with various design groups and EDA vendors to improve tool efficiency. You will work in a dynamic environment, applying your expertise in object-oriented programming, data structures, machine learning algorithms, NLP, and Python within the UNIX shell environment. This role requires proficiency in EDA tools and CAD flow methodologies, as well as experience in electrical engineering ML applications and large language models. Your contributions will directly impact millions of Apple customers by delivering state-of-the-art processors to a wide range of 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 and writing algorithms.
  • Proficiency in machine learning, natural language processing, and large language models.
  • Expertise in EDA Tool, CAD flow, or TFM methodologies.
  • Strong skills in UNIX shell environment, Python, and code revision control.
  • Knowledge of PNR implementation and EMIR analysis flows.
  • Experience with electrical engineering machine learning applications.
  • Ability to fine-tune large language models and engage in prompt engineering.

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