Gate-level IR/EM CAD/NLP Engineer (m/f/d)

Lex; München; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Apple is seeking a talented ML/LLM engineer to join the CAD Group to develop analytic platforms for IR/EM signoff analysis. You will apply ML/LLM techniques to automate reports and interact with EDA software, contributing to silicon design feedback.

As part of a collaborative team, you will partner with Physical-design, Circuit-design, Power, and Technology groups to improve power grid integrity and signoff efficiency, delivering high-quality results for Apple silicon products.

Qualifikationen

• Experience in OO programming, data structures, and algorithms.
• Proficiency in ML, NLP, or LLM applications in industry.
• Experience with EDA tools, CAD flows or TFM.

Aufgaben

• Develop ML/LLM apps to understand, explain, and interact with EDA software.
• Generate reports and dashboards for IR/EM issues and power grid integrity.
• Automate IR/EM analysis and signoff flows.
• Collaborate with design groups on IR/EM requirements.
• Work with EDA vendors to improve efficiency.

Kenntnisse

Object-oriented programming

Data structures

Algorithms

Machine learning

NLP

LLMs

UNIX shell

Python

Version control

Ausbildung

BS in Electrical Engineering or Computer Science

Tools

EDA Tool

CAD Flow

TFM

Jobbeschreibung

Summary

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

• 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

• 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

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

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

Role Number: 200663150-1731