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CAD Engineer, Silicon Learning and Static Timing Analysis

Apple - Santa Clara, United States of America

Posted Nov 13, 2025

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Learning budget
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Verification
Not verified last checked Jun 13, 2026
Salary
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Application

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About this role

CAD Engineer, Silicon Learning and Static Timing Analysis Santa Clara, United States of America Do you love tackling highly complex challenges with a keen eye towards revealing what has been hidden to others? Do you intrinsically understand the difference between correlation and causation? As part of our Silicon Technologies group, youʼll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC) working on leading edge semiconductor technology nodes where the hidden details make a real difference in performance, power, and area. Youʼll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means youʼll be responsible for crafting and building the technology that fuels Appleʼs devices. Together, you and your team will enable our customers to do all the things they love with their devices and things that they haven't yet imagined possible. In this critical role, you will be responsible for analyzing silicon performance data and incorporating the learnings back into static timing analysis tools, flows, margins, and design closure methodologies to drive continuous improvements in Apple products. You will help refine our understanding of advanced silicon to truly optimize performance and battery life in phones, laptops, and products not yet dreamt of. * Work with design teams, DFT, CAD, and product engineering to design experiments, analyze results and refine design methodologies applied across all silicon design at Apple. * Drive adoption of new technologies in the field of static timing analysis * Data mining and analysis

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