Display Panel Design Engineer

Apple·Cupertino, California, United States·posted 10m ago · last seen 1m ago

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About interviewing at Apple

One of tech's least standardized loops: you interview for a specific team, and every stage belongs to it. Recruiter/hiring-manager screen, one to three 45–60 minute Coderpad coding screens, a system design round shaped by Apple's reliability and privacy constraints, and a behavioral round — then a panel debrief. There is no central question bank; questions map to the team's real stack.

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Description

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Apple is looking for a world-class Thin Film Transistor (TFT) panel design engineer to design, develop and launch the next display technologies for the displays in Apple products. The TFT panel design team is responsible for delivering the advanced TFT panel designs and technologies to enable the world’s best display performance in Apple Products. This individual will serve as a focal point for architecting and developing complete TFT pixel and panel designs, including display panel modeling, simulation, integrated circuit-on-panel design, panel architecture, and whole-panel functional simulation. This role is also expected to strengthen how the team simulates — advancing model fidelity, building automation around simulation and measurement data analysis, and applying AI-assisted workflows to shorten design iteration.

Description

TFT panel architecture scoping and definition TFT device design, modeling, simulation and characteristics measurement Pixel and panel design, layout and parasitic parameter extraction TFT Pixel and panel modeling, characterization, and validation On-panel integrated circuit design, simulation and validation, on both rigid and flexible substrates Develop and maintain design automation for panel simulation, characterization, and measurement data analysis Establish simulation methodology and best practices for the panel design team Failure mode analysis, root cause investigation, and problem solving New TFT technologies exploration, investigation, and validation International business travel to support project implementation Engage and collaborate with cross-functional teams, including TFT process, Display Optics, Touch EE, Display EE, and Mechanical Engineering, Display touch Collaborate with external vendors for display manufacturing

Minimum Qualifications

BS and a minimum of 10 years relevant industry experience Hands-on experience creating 2D physical layout in a CAD environment such as Cadence Virtuoso, Synopsys Laker, or equivalent, including design rule verification and parasitic RC extraction Hands-on experience performing circuit simulation with a SPICE-class simulator such as Spectre, HSPICE, or equivalent, including device model setup and interpretation of simulation results Understanding the basics of TFT, OLED and panel processes

Preferred Qualifications

Advanced degree in Electrical Engineering with a focus on thin-film devices, display circuits, or semiconductor device physics Direct design ownership of an OLED or LCD display product that reached high-volume production Experience in display touch Experience in measuring and characterizing IV and CV of TFT or OLED devices Experience in characterizing panel optical and electrical performance Experience in gate, column driver IC and other display electronics designs Experience building repeatable automation for simulation, measurement, and data-analysis flows such as Python-driven SPICE sweeps, layout scripting, parametric extraction, log and dataset triage Effective use of AI-assisted development tools to accelerate the above, with sound judgment on where results must be verified deterministically rather than accepted as generated Excellent written and verbal communication skills

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