Gate-level IR/EM CAD/NLP Engineer

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. In this highly visible role, your primary

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

for various analysis flows. Work side by side with EDA vendors to enhance and develop solution to improve efficiency and capacity. 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 + 3 years of relevant industry experience 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