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Location
In office (Taiwan)
Seniority
Middle · 3+ years exp
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. Apple scores A on the Alion truth index.

Overview
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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Apple is seeking a talented Process or Equipment Engineer to join our Photolithography Engineering team. In this role, you will drive the research, development, and continuous improvement of cutting-edge lithography processes, materials, and equipment. You will play a pivotal role in advancing core manufacturing capabilities that directly influence the evolution and performance of future Apple products.

Description

In this role, we are looking for a proactive and curious engineer who demonstrates strong ownership in identifying technical challenges and driving innovative solutions. Your scope extends beyond traditional process tuning-you will actively optimize equipment capability, tooling performance, and overall fab operational efficiency.

Collaboration is essential to your success. Throughout the development cycle, you will partner closely with the cross-region team and diverse cross-functional engineering groups to refine, validate, and bring your ideas to fruition. To build a holistic, hands-on mastery of photolithography, you will also engage in the maintenance and sustaining of our R&D line equipment, gaining critical insights directly from tool behaviors.

This role bridges scientific discovery and high-volume manufacturing reality. You will be expected to evaluate ideas through the lens of baseline yield, defect, process margin, and manufacturability-ensuring that cutting-edge innovations successfully transition from concept to scalable production.

Minimum Qualifications

MS degree in Chemical Engineering, Materials Science, Optics, Physics, Electrical Engineering, or a related engineering/scientific discipline.

3+ years of hands-on experience in photolithography process engineering, recipe optimization, or litho equipment tuning.

2+ years of practical experience operating, troubleshooting, and maintaining lithography process tools (coater/developer/stepper/scanner) and metrology equipment (CD-SEM, overlay, ellipsometry, or thin-film inspection).

Proven track record in Design of Experiments (DOE) methodologies, statistical data analysis, and structured root-cause problem solving.

Excellent verbal and written English communication skills, with demonstrated capability to articulate technical concepts and collaborate effectively with global cross-functional teams.

Preferred Qualifications

Solid domain knowledge in advanced display (OLED/micro-LED) or semiconductor fabrication processes, with deep specialization in photolithography.

Hands-on experience with fab operational models, line dispatching, and structured manufacturing risk assessment (e.g., FMEA).

Proven track record in technology transfer-successfully scaling processes from early-stage R&D to high-volume manufacturing (HVM).

Background in organic materials development, formulation, or evaluation (e.g., photoresists, polyimide).

Proficiency in material characterization and surface analysis techniques, such as TDS, FTIR, SIMS, FIB, and SEM/TEM.

Experience with optical or mechanical simulation toolsets (e.g., lithography simulation tools like S-Litho/PROLITH, optical modeling, or FEA stress analysis).

Familiarity with leveraging modern AI/LLM tools, machine learning, or automated scripts to boost engineering productivity and fab data/system management.

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