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Analog Layout Automation Engineer
Apple, Inc.Cupertino, CA🇺🇸United StatesPosted 12 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Join Apple's Silicon Engineering Group (SEG) and be at the forefront of shaping the next generation of Apple's systems-on-chip (SOCs)! Our SOCs, featuring multi-billion transistors, are the heart of iconic devices like iPhones, iPads, and Macs. We're seeking a highly skilled Analog Layout Automation Engineer to contribute to the evolution of Analog/Mixed-Signal (AMS) circuits, covering SerDes, PLLs, and sensors, with a focus on automation and leveraging AI/ML techniques for improved design and efficiency.
Description
As an Analog Layout Automation Engineer, you'll convert design concepts into silicon by collaborating with circuit designers and using advanced, including AI-powered, CAD tools to create high-performance analog and mixed-signal layouts. You will review floor plans, analyze circuits, run verification suites, and resolve LVS/DRC/ERC issues to deliver next-generation SOCs. You'll also drive automation by developing scripts, improving workflows, and applying AI/ML for layout optimization, verification acceleration, advanced modeling, intelligent quality metrics, reduced manual effort, and data-driven design insights.
Minimum Qualifications
BS degree in technical discipline with minimum 10 years of relevant experience.
Preferred Qualifications
Experience designing analog and mixed-signal layouts in deep-submicron CMOS and FinFET technologies.
Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis.
Solid understanding of supervised and self-supervised learning, convolutional neural networks (CNNs), and core training concepts such as loss functions, backpropagation, and optimization.
Hands-on experience with PyTorch for model development and experimentation.
Demonstrated ability to automate layout tasks, flows, and quality checks using scripting and CAD tools.
Proven record in implementing high-quality analog layouts with tight device matching, low noise, and low power consumption.
Familiarity with failure-prone circuit/layout structures, analog and DFM best practices, and the ability to diagnose and resolve layout-related issues.
Strong proficiency in custom and standard-cell floor planning, hierarchical layout assembly, and physical integration.
Understanding of image processing fundamentals, spatial representations, multi-channel image handling, segmentation, and object detection concepts.
Technical understanding of IR drop, RC delay, electromigration, self-heating, coupling capacitance, and related reliability concerns.
High proficiency in interpreting physical verification reports, including DRC, ERC, and LVS.
Experience using advanced Cadence Virtuoso features (XL, APR, Constraint Manager), and familiarity with Cadence Innovus.
Experience with CAD automation workflows and PCell creation.
Excellent communication skills and the ability to work effectively with cross-functional teams.
Description
As an Analog Layout Automation Engineer, you'll convert design concepts into silicon by collaborating with circuit designers and using advanced, including AI-powered, CAD tools to create high-performance analog and mixed-signal layouts. You will review floor plans, analyze circuits, run verification suites, and resolve LVS/DRC/ERC issues to deliver next-generation SOCs. You'll also drive automation by developing scripts, improving workflows, and applying AI/ML for layout optimization, verification acceleration, advanced modeling, intelligent quality metrics, reduced manual effort, and data-driven design insights.
Minimum Qualifications
BS degree in technical discipline with minimum 10 years of relevant experience.
Preferred Qualifications
Experience designing analog and mixed-signal layouts in deep-submicron CMOS and FinFET technologies.
Strong programming/scripting skills in SKILL, Perl, TCL, Shell, and/or Python, with emphasis on layout automation, productivity tooling, and data analysis.
Solid understanding of supervised and self-supervised learning, convolutional neural networks (CNNs), and core training concepts such as loss functions, backpropagation, and optimization.
Hands-on experience with PyTorch for model development and experimentation.
Demonstrated ability to automate layout tasks, flows, and quality checks using scripting and CAD tools.
Proven record in implementing high-quality analog layouts with tight device matching, low noise, and low power consumption.
Familiarity with failure-prone circuit/layout structures, analog and DFM best practices, and the ability to diagnose and resolve layout-related issues.
Strong proficiency in custom and standard-cell floor planning, hierarchical layout assembly, and physical integration.
Understanding of image processing fundamentals, spatial representations, multi-channel image handling, segmentation, and object detection concepts.
Technical understanding of IR drop, RC delay, electromigration, self-heating, coupling capacitance, and related reliability concerns.
High proficiency in interpreting physical verification reports, including DRC, ERC, and LVS.
Experience using advanced Cadence Virtuoso features (XL, APR, Constraint Manager), and familiarity with Cadence Innovus.
Experience with CAD automation workflows and PCell creation.
Excellent communication skills and the ability to work effectively with cross-functional teams.
Skills
Shell
Assembly
Perl
PyTorch
Python
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