Reliability Engineer - MacBook

Confirmed live in the last 24 hours

Apple

Chengdu

On-site

Posted March 16, 2026

Job Description

Summary

Apple is a place where extraordinary people gather to do their best work. Just be ready to dream big. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple’s innovative Reliability Engineering team is looking for talents join us working with MacBook development groups.

Description

You’ll be responsible for leading and executing reliability tests on new Apple and supplier technologies, development of new test procedures to quantify the reliability of a design, and drive continuous product improvements.

Minimum Qualifications

Hands-on experience with reliability testing, including mechanical stress and environmental testing Familiarity with industry test standards such as JEDEC, ASTM, and IEEE Experience applying Design of Experiments (DOE) methodologies Experience conducting Failure Modes and Effects Analysis (FMEA) Proven ability to manage multiple projects in parallel Strong troubleshooting capability and the ability to execute testing independently Excellent attention to detail and strong analytical problem-solving skills Experience applying structured failure analysis methodologies to identify root causes Solid understanding of mechanical assemblies and system-level interactions Demonstrated ability to quickly learn new technologies, tools, and test methods Strong written and verbal communication skills in English and Chinese

Preferred Qualifications

Bachelor’s degree or higher in Materials Science, Mechanical Engineering, Electrical Engineering, or a related field 3+ years of experience in the consumer electronics industry Fresh graduates with strong machine learning exposure in those majors are welcome Experience with statistical analysis tools and models such as Weibull analysis, JMP, or accelerated life testing Hands-on experience with dynamic characterization techniques Familiarity with failure analysis tools including optical microscopy, X-ray/CT, SEM/EDS, and FTIR Experience with programming or scripting (e.g., Python, MATLAB) for test automation, large-scale data processing, or statistical analysis is a plus