- Office in San Jose
Weekly Hours: 40
Role Number: 200665579-3749
Summary
We are the Electrical Simulation CAE Team in Hardware Engineering, and our primary objective is to develop and implement workflows and methodologies that ensure electrical and electromagnetic simulations are conducted with speed, efficiency, and precision. Through a comprehensive approach, the team guarantees that the hardware engineering teams have access to the most accurate and reliable simulation tools and data, empowering them to achieve excellence in electrical design and performance. Come join our team!
We are seeking a simulation engineer with a strong electrical background to create innovative end-to-end modeling and simulation solutions with cross-functional team members for simulation users across hardware engineering teams. These solutions provide early feedback to Apple product design and enable electrical simulation methodologies for current and future designs. You'll be responsible for validation, application support, and scale up of electrical simulation tools, solutions, and workflows. Additionally, we are looking for experience implementing AI/ML applications to support rapid design iterations for signal integrity, power integrity, EMI/EMC, magnetics, and electromagnetic simulations.
Description
This position focuses on workflows and automations for electrical and electromagnetic simulation in order to inform design decisions of new technologies and designs. We are looking for someone who always strives to learn something new, is a self-starter and can work independently with high levels of success, and is excited about solving new challenging electrical design problems with innovative solutions.
Minimum Qualifications
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Master's degree in Electrical Engineering.
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Experience in AI/ML theory and use of LLMs.
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2+ years of hands on simulation workflow development experience.
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Good understanding of the electrical simulation workflow: schematic/layout/CAD > Simulation > Analysis.
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Experience with electrical and electromagnetic simulation tools such as Ansys HFSS, SIwave, Q3D, Maxwell, CST Studio Suite, Keysight ADS, Cadence Clarity/Sigrity, or COMSOL.
Preferred Qualifications
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PhD degree in Electrical Engineering or relevant field of study.
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Deep understanding of electromagnetic's, magnetics, RF, and multi-physics simulations with an electrical emphasis.
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Knowledge of 3D electromagnetic modeling, full-wave solvers, and finite element analysis methods applied to electrical problems.
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Experience in the use of AI/ML techniques and LLMs.
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Familiarity with automation and workflow processes and scripting languages (e.g., Python, MATLAB, TCL).
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Excellent communication, presentation, and organizational skills.
