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Material Modeling and Simulation Engineer

Apple, Inc.

San Jose, California • Today

Full-time

Job Details

Skills

Signal Integrity
iPhone
Partnership
FOCUS
Bridging
Computer Hardware
HFSS
Artificial Intelligence
Machine Learning (ML)
DNN
Gradient Boosting
Scripting
Electrical Engineering
PCB
Material Characterization
Modeling
VNA
TDR
Workflow
Communication
Presentations
Organizational Skills
Collaboration

Summary

Imagine being part of the team that ensures every Apple product performs exactly as designed - before a single prototype is built. Apple's Hardware Engineering organization is home to some of the most advanced simulation and signal integrity work in the industry, developing the foundational methodologies that connect virtual models to physical reality. Our work spans every product line - from iPhone to Mac to Vision Pro - empowering engineers across Apple to make confident design decisions faster and with greater precision, all in service of creating products that enrich people's lives.

You'll join the Material Modeling Team, a group whose mission is to elevate simulation confidence to the point where it reliably supports critical design decisions. We deliver on this through two foundational pillars: methodology development in close partnership with product teams, and material model generation and validation across the environmental conditions that matter to real products. As a Material Modeling and Simulation Engineer, you'll develop and validate simulation methodologies that drive strong correlation between simulation results and physical measurements - partnering with hardware engineering teams across multiple product divisions to accelerate development and reduce reliance on physical builds.

Description

You'll focus on improving PCB material modeling quality and simulation-to-measurement correlation to inform design decisions for new technologies and designs. You thrive on bridging the gap between modeled and measured results, enjoy cross-functional collaboration with hardware engineering teams, and are motivated to drive adoption of proven methodologies across a diverse set of products.

Minimum Qualifications

Master's degree in Electrical Engineering or a relevant field of study.

3+ years of related work and relevant academic experience.

Hands-on experience with EM simulation vendor tools - such as HFSS or similar

Expertise in AI/ML methodologies - such as DNN, PINN, or gradient boosting

Good understanding of Electromagnetics.

Experience with scripting languages.

Preferred Qualifications

PhD in Electrical Engineering or a relevant field.

A deep understanding of PCB material characterization methods and material property modeling across environmental conditions is part of your expertise.

Experience with VNA-based S-parameter measurement, TRL/TDR calibration, and de-embedding workflows.

Strong understanding of simulation-to-measurement correlation workflows, including de-embedding techniques.

Excellent communication, presentation, and organizational skills to collaborate effectively across teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: f09321d0aab5b83bc898a8db0b5aa5bd
Posted 30+ days ago

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Job Details

Skills

Signal Integrity
iPhone
Partnership
FOCUS
Bridging
Computer Hardware
HFSS
Artificial Intelligence
Machine Learning (ML)
DNN
Gradient Boosting
Scripting
Electrical Engineering
PCB
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Modeling
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TDR
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Communication
Presentations
Organizational Skills
Collaboration

Summary

Dice Id: 90733111
Position Id: f09321d0aab5b83bc898a8db0b5aa5bd
Posted 30+ days ago

Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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