Product Quality Engineer (PQE), Display Component - Korea

Greater Seoul Area Until 9/22/2026 First posted July 24, 2026 Last posted July 24, 2026
Job description

Imagine what you could do here! At Apple, we believe new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Here in Apple, we don’t just create products — we create the kind of wonder that’s revolutionized entire industries. It’s the diversity of people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Operations engineering is engaged from the earliest stages of new product introduction (NPI), engineering builds, ramp up and throughout product lifecycle. The team ensures high quality and high yield, working with module teams to quickly resolve technical and operational issues and interface between vendors and downstream module integrators. We are looking for a Product Quality Engineer (PQE) for Display Component to be based in Korea!

Description

PQE as part of Technical Operations, will work in conjunction with the Manufacturing Process Engineering team as well as a multi-functional team of Design, Engineering, Sourcing and Product Development Engineers to ensure that top quality products and services from the suppliers and drive excellence into everything we do.

In this highly visible technical quality lead role, you will be the resident factory expert in manufacturing process, yields and overall factory readiness for mass production, combining knowledge of Display and Display related components to deliver results on a tight timeline.

Minimum Qualifications

Business-level proficiency in verbal and written English, with the ability to communicate technical topics clearly across cross-functional teams
Solid understanding of end-to-end quality control processes, with familiarity in Smart Quality / Quality 4.0 initiatives and data-driven quality management
Experience with statistical analysis and data visualization tools such as JMP, Tableau, or equivalent platforms, with the ability to translate complex data into clear insights and actionable recommendations
Basic proficiency in using AI-enabled tools to support engineering workflows, including data analysis, report generation, knowledge search, and task automation
Hands-on experience in failure analysis within the display or related engineering field, with a general understanding of DOE principles and structured problem-solving methodologies
Practical experience with failure analysis and characterization tools such as FIB-SEM, AFM, FTIR, CT-scan, or equivalent equipment to support complex technical investigations
B.S. or B.E. degree in Engineering, Materials Science, Physics, Chemistry, or a related technical field, or equivalent proven experience in a relevant engineering role

Preferred Qualifications

Strong ability for teamwork and collaboration
Strong interpersonal and communication skills, with the ability to concisely understand and communicate issues and lead cross functional teams to solution
Willingness to be flexible, manage multiple activities, and frequently pivot to new tasks and responsibilities
Experience with Roll-to-Roll manufacturing processes and quality control
Experience with external supplier for program management
Proficiency in Korean or Japanese Language is a plus
Flexibility for business travel in Korea/Japan and other countries
Artificial Intelligence (AI), Machine Learning (ML) and its application experience is a plus

About this role

Summary

Ensure display component quality, analyze failures, optimize manufacturing processes, support product lifecycle.

Job title

Product Quality Engineer (PQE), Display Component

Experience level

none

Industry

technology

Location requirements

Greater Seoul Area, Korea; remote not specified

Salary

Not specified

Management role

No

Skills & keywords

Required skills

verbal and written Englishquality control processesstatistical analysisdata visualizationfailure analysisengineering

Preferred skills

teamworkcommunicationmanufacturing processesprogram managementAI and ML

Specializations

displayquality controlfailure analysisdata analysismanufacturing
Locations

Structured locations inferred from the posting.

Unknown location

Work arrangement unknown