Gate-level IR/EM CAD/NLP Engineer

Apple Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Apple Inc. is seeking an experienced professional to join their CAD Group in Austin, Texas. The role requires expertise in developing machine learning and large language model applications to enhance EDA software interactions. Responsibilities include generating reports for IR/EM issues and collaborating with design groups and vendors. Candidates must possess a BS degree and at least 10 years of relevant experience, with preferred qualifications including knowledge of PNR implementation and EMIR analysis. This position fosters a commitment to diversity and equal opportunity.

Qualifications

• Experience in developing object-oriented programs and writing algorithms.
• Experience in writing machine learning algorithms and implementing NLP.
• Experience in EDA Tool, CAD flow or TFM.

Responsibilities

• Develop ML and LLM applications to interact with EDA software.
• Design interaction with our compute infrastructure.
• Generate reports and dashboards for IR/EM issues.
• Automate IR/EM analysis and signoff flows.
• Collaborate with design groups on IR/EM requirements.
• Work with EDA vendors to enhance efficiency.

Skills

Object-oriented programming

Machine learning algorithms

Natural language processing (NLP)

UNIX shell environment

Python

Code revision control

Education

BS degree

Tools

EDA Tool

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.

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 solutions to improve efficiency and capacity.

Minimum 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
• Minimum requirement of BS + 10 years of relevant industry experience

Preferred Qualifications

• 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
• Experience in EMIR analysis and some of the related flows – extraction, timing, noise, simulation, physical design and/or verification
• Experience leading industry electrical engineering-focused software development projects

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.