Main Logic Board Product Engineer

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 create 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.

Description

Apple is seeking an MLB Product Engineer with excellent Electrical Engineering skills to work with Product Design, Test, Product Quality, Supplier Quality, Contract Manufacturers, and field organizations to deliver high quality systems. Outstanding program management skill is highly desired.

Minimum Qualifications

7+ years experience in electrical design (ideally both digital and analog), electrical test, debug & integration of electronics into systems

Familiar with design and schematic tools

Familiarity with board and system electronic test strategies: In-Circuit Testing, board functional tests, and industry standard test methodologies

Excellent skills in failure analysis of systems, circuits, and their components

Bachelors in Electrical Engineering

Preferred Qualifications

Demonstrated excellence in organization, execution and program management in complex cross functional projects.

Drive technical root cause analysis and corrective actions to improve system quality.

Excellent written and verbal communication skills.

Precise technical communication including deep level of engineering analysis and details.

Demonstrated initiative with a high level of energy, and methodical & efficient problem solving skills including engineering DOEs.

Familiarity in system manufacturing, SMT, and transitioning new products into manufacturing.

Experience using a variety of data mining/data analysis methods, using a variety of data tools to derive meaningful results and drive key decisions to solve problems.