Gate-level IR/EM CAD/NLP Engineer

Apple Inc.; Austin (TX); Hybride; USD 120 000 - 190 000; Plein temps

Résumé du poste

Apple Inc. is seeking a technically driven engineer to advance ML/LLM applications for EDA software and silicon signoff analysis.

You will interface with large compute resources and create dashboards to identify IR/EM issues, helping optimize power integrity across Apple silicon. The role requires a BS with 3+ years of experience, strong programming skills, familiarity with EDA tools, and collaboration across cross‑functional teams.

Qualifications

• BS + 3 years of relevant industry experience required.
• Strong fundamentals in algorithms and data structures.
• Experience applying ML/LLMs to real-world applications.
• Proficiency with UNIX shell and Python.
• Experience with EDA tools and CAD flows.

Responsabilités

• Develop ML and LLM applications to understand and interact with EDA software.
• Design interaction with compute infrastructure for analytics platform.
• Generate reports and dashboards to identify IR/EM issues and improve power grid integrity.
• Collaborate with design groups on IR/EM requirements for analysis flows.

Connaissances

OOP programming

NLP

Python

Unix shell

ML/AI

LLMs

RAG

Formation

Bachelor's degree

Outils

EDA tool

CAD flow

Tool Flow Methodology

Description du poste

Interested in joining us to deliver the world’s most advanced silicon? At Apple, new ideas have a way of becoming phenomenal products very quickly. There's no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with Apple silicon power all our products. The same real passion for innovation that goes into our products also applies to our practices - we continue to strengthen our commitment to leave the world better than we found it!As a key member of our best-in-class CAD Group, you will be part of developing an analytic platform to identify and recommend solutions to signoff IR/EM analysis. You will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon design, also applying machine learning (ML) and large language modeling (LLM) technologies to provide more accurate and efficient design feedback. These LLM applications encompass tasks such as large data summarization, information retrieval, triage, and chatbot development, alongside traditional silicon design areas such as static/dynamic IR analysis, signal/power grid extraction, STA timing, signal/power EM analysis, and signoff.The successful candidate will excel in dynamic, collaborative working environments and exhibit a hands-on, enthusiastic, self-motivated approach, with a strong drive to succeed in challenging settings. If you are eager to tackle challenges with innovative solutions, deliver exceptional user experiences, and pay meticulous attention to detail, this role may be the perfect fit for you. As a member of our team, your contributions will directly impact the experiences of millions of Apple customers in delivering state of the art processors to the wide range of Apple products.

Description

In this highly visible role, your primary responsibilities will include:Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software. Designing and implementing their interaction with our extensive compute infrastructure.Generating customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid integrity.Identifying opportunities to automate and streamline various IR/EM analysis and signoff flows.Support and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their IR/EM requirements for various analysis flows.Work side by side with EDA vendors to enhance and develop solution to improve efficiency and capacity.

Minimum Qualifications

• Minimum requirement of BS + 3 years of relevant industry experience

Preferred Qualifications

• Experience in developing object-oriented programs, utilizing data structures, and writing algorithms
• Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications
• Experience in EDA Tool, CAD flow or TFM (Tool Flow Methodology)
• Proficiency with UNIX shell environment, Python, and code revision control
• Knowledge in some of the PNR implementation and/or EMIR analysis flow
• Experience in electrical engineering machine learning applications
• Experience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering
• Ability to coordinate and drive initiatives with little to no oversight
• Excellent communication and presentation skills

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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Apple accepts applications to this posting on an ongoing basis.