Gate-level IR/EM CAD/NLP Engineer

Apple Inc.; Sunnyvale (CA); Hybrid; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. seeks a qualified engineer to develop ML and NLP-driven applications for EDA analytics and signoff workflows. You will design interfaces with large compute infrastructure and craft dashboards that pinpoint IR/EM issues affecting power grid integrity.

Collaborate with Physical-design, Circuit-design, and Power teams, and partner with EDA vendors to deliver high-impact improvements in efficiency. Base pay ranges reflect experience and location.

Qualifications

• > BS + 3 years of relevant industry experience.

Responsibilities

• Develop ML and large language model applications to understand, explain, and interact with EDA software.
• Design and implement interaction with compute infrastructure for analytics platform.
• Generate customized reports and dashboards to identify IR/EM issues and improve power grid integrity.
• Collaborate with design groups on IR/EM requirements for various flows.
• Work with EDA vendors to enhance solutions for efficiency and capacity.

Skills

OO programming

ML

NLP

Communication

Problem solving

Education

Bachelor's degree

Tools

Python

UNIX shell

Git

Job description

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.