Gate-level IR/EM CAD/NLP Engineer
Apple· Hardware
Hybrid (Austin, TX), Hybrid (Sunnyvale, CA)full-timePosted 2w ago
About the role
Key member of Apple’s CAD Group responsible for developing an analytic platform to identify and recommend solutions to signoff IR/EM analysis, applying ML/LLM technologies to provide efficient design feedback across traditional silicon design areas and EDA workflows.
Responsibilities
- Developing innovative ML and large language model applications to understand, explain, and interact with EDA (electronic design automation) software.
- Designing and implementing interaction with 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.
Qualifications
- Minimum requirement of BS + 3 years of relevant industry experience
- 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
- 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
Skills
Required:Object-oriented programmingMachine learning / NLP / LLMEDA tools / CAD flowUNIX shell, Python, version controlLLM techniquesCommunication / presentation
Nice to have:PNR / EMIR analysisElectrical engineering ML applications
Last updated Oct 23, 2026. Interested? Apply on the company site.
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