Failure Analysis Engineer - Electrical Engineering

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. This position will give you the opportunity to bring our revolutionary products and amazing technology to the world by working closely with our global Apple teams to discover the root cause of product failures. You will be given every resource you need to push the boundaries of what is possible, to do the best work of your life.

Description

In this role, you will work in a lab environment, using your engineering and scientific knowledge, along with top-end equipments, to figure out the root cause of electrical failures of Apple products. You will also be responsible for recommending corrective actions and presenting the findings to global teams and executives.

Minimum Qualifications

PhD or Master degree in Electrical Engineering, Semiconductor Engineering, Materials/Chemical Science, or a related field
Experience in electrical design or failure analysis related to consumer electronics, semiconductors
Hands-on experience with at least one advanced failure analysis/debug tools, such as Oscilloscope, Lock-in Thermography (LIT), OBIRCH, EMMI, SAT, nano probe, etc.
Fluent in English with strong communication skills, including the ability to seek direction, listen to feedback, and convey complex findings concisely and understandably

Preferred Qualifications

Specific failure analysis expertise in any of the following fields: mother boards, electronics components, semiconductor devices, semiconductor manufacturing, or PCB manufacturing
Adaptability to fast-paced environment and shifting work scope to meet business needs, with a strong aptitude for learning new techniques
Material analysis tools experience such as SEM, FTIR, FIB
Ability to prioritize and manage multiple high-priority tasks simultaneously
Willingness to collaborate closely across organizations
Software coding experience in AI/ML