Reliability Engineer - Data

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people here at Apple don’t just build products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires 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.

This is an exciting role where you’ll have the opportunity to work on bringing new products to life with the level of reliability that delights our customers and defines what we do at Apple.

Description

Operations Reliability Engineers are responsible for guiding development and operations teams toward generating reliable designs for Apple's new technology components, modules, and overall products. We achieve this objective by blending deep engineering knowledge with advanced data analytics.
This includes analyzing large-scale datasets, creating early warning systems, and building new data platforms to identify high-risk failure modes early in the design life cycle and find the best path towards mitigation before ramp.

Responsibilities

• Investigate ways to utilize big data and machine learning to enhance reliability testing and create new early warning systems.
• Leverage latest data tools and platforms to drive continuous improvement
• Drive data-driven decisions on reliability risks during product ramps, analyzing test results to identify failure modes and recommend validated corrective actions.
• Synthesize post-launch data from sustaining and AppleCare teams to drive targeted improvements in factory detection, testing protocols, and future product designs.
• Own root cause analysis by partnering with Failure Analysis engineers, ensuring data integrity from issue identification through to resolution.

Minimum Qualifications

• BS in Computer Science / Statistics / Data Science or Engineering (Mechanical, Electrical, Reliability, Materials, Optical, Industrial or similar), MS/PhD is preferred
• Proficiency in using programming language, familiar with digitization, database, data pipeline and process automation (Python, SQL, Tableau etc.)
• Familiarity with common machine learning models, generative AI and AI tool development
• Proficient in English and Chinese

Preferred Qualifications

• Experience building database, factory data digitization, building platform and apply AI tool for work efficiency improvements
• Knowledge of reliability models, risk assessment methods, accelerated test models, and industry test standards, strong statistical and data analytics skills
• Understanding of MES (Manufacturing Execution System) logic and experience with MES systems is plus

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.