Interested in joining us to deliver the worlds most advanced silicon At Apple new ideas have a way of becoming phenomenal products very quickly. Theres 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! nnAs 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. nnThe 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 responsibilities will include: nnDeveloping 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 customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid opportunities to automate and streamline various IR/EM analysis and signoff and collaborate with design groups (Physical-design and integration Circuit-design / Power / Package u0026 System / Technology) on their IR/EM requirements for various analysis 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 algorithmsnnExperience in writing machine learning algorithms implementing natural language processing (NLP) or using large language models in industry applicationsnnExperience in EDA Tool CAD flow or TFM (Tool Flow Methodology)nnProficiency with UNIX shell environment Python and code revision controlnnMinimum requirement of BS 10 years of relevant industry experience
Knowledge in some of the PNR implementation and/or EMIR analysis flownnExperience in electrical engineering machine learning applicationsnnExperience with large language models including fine-tuning retrieval augmented generation and prompt engineeringnnAbility to coordinate and drive initiatives with little to no oversightnnExcellent communication and presentation skillsnnExperience in EMIR analysis and some of the related flows extraction timing noise simulation physical design and/or verificationnnExperience leading industry electrical engineering-focused software development projects
Required Experience:
IC
Interested in joining us to deliver the worlds most advanced silicon At Apple new ideas have a way of becoming phenomenal products very quickly. Theres no telling what you could accomplish at Apple. The people who work here have reinvented entire industries with Apple silicon power all our products....
Interested in joining us to deliver the worlds most advanced silicon At Apple new ideas have a way of becoming phenomenal products very quickly. Theres 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! nnAs 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. nnThe 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 responsibilities will include: nnDeveloping 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 customized reports and dashboards to identify IR/EM issues and recommended solutions to improve power grid opportunities to automate and streamline various IR/EM analysis and signoff and collaborate with design groups (Physical-design and integration Circuit-design / Power / Package u0026 System / Technology) on their IR/EM requirements for various analysis 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 algorithmsnnExperience in writing machine learning algorithms implementing natural language processing (NLP) or using large language models in industry applicationsnnExperience in EDA Tool CAD flow or TFM (Tool Flow Methodology)nnProficiency with UNIX shell environment Python and code revision controlnnMinimum requirement of BS 10 years of relevant industry experience
Knowledge in some of the PNR implementation and/or EMIR analysis flownnExperience in electrical engineering machine learning applicationsnnExperience with large language models including fine-tuning retrieval augmented generation and prompt engineeringnnAbility to coordinate and drive initiatives with little to no oversightnnExcellent communication and presentation skillsnnExperience in EMIR analysis and some of the related flows extraction timing noise simulation physical design and/or verificationnnExperience leading industry electrical engineering-focused software development projects
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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