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
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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 4d2481a7684ae47d310b1274a62394a8
- Posted 30+ days ago
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