What are the responsibilities and job description for the Main Logic Board Product Engineer position at Apple, Inc.?
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. \\n \\nThe 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. \\n \\nApple is seeking an Main Logic Board Product Engineer with excellent Electrical Engineering design and debug skills to work with Product Design, Test, Product Quality, Supplier Quality, Contract Manufacturers, and field organizations to deliver high quality & designed systems. Outstanding program management skill is highly desired.
A successful Main Logic Board Product Engineer is an EE, technical, driven, organized, detail oriented, adept at driving actions and resolving conflicts; and communicates with ease at all levels. Lead responsibilities will include:
3 years experience in electrical design (ideally both digital and analog such as system design, component I/O, Power delivery, Power electronics, etc), track record of electrical design improvements, electrical test, debug & integration of electronics into systems; consumer electronics experience is preferred.\nBS/MS/PhD Electrical Engineering
Familiar with design and schematic tools.\nFamiliarity with board and system electronic test strategies: In-Circuit Testing, board functional tests, and industry standard test methodologies- Demonstrated excellence in organization, execution and program management in complex cross functional projects.\nExcellent skills in failure analysis of systems, circuits, and their components \nDrive technical root cause analysis and corrective actions to improve system quality.\nExcellent written and verbal communication skills.\nPrecise technical communication including deep level of engineering analysis and details.\nDemonstrated initiative with a high level of energy, and methodical & efficient problem solving skills including engineering DOEs.\nFamiliarity in system manufacturing, SMT, and transitioning new products into manufacturing.\nExperience 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.
A successful Main Logic Board Product Engineer is an EE, technical, driven, organized, detail oriented, adept at driving actions and resolving conflicts; and communicates with ease at all levels. Lead responsibilities will include:
3 years experience in electrical design (ideally both digital and analog such as system design, component I/O, Power delivery, Power electronics, etc), track record of electrical design improvements, electrical test, debug & integration of electronics into systems; consumer electronics experience is preferred.\nBS/MS/PhD Electrical Engineering
Familiar with design and schematic tools.\nFamiliarity with board and system electronic test strategies: In-Circuit Testing, board functional tests, and industry standard test methodologies- Demonstrated excellence in organization, execution and program management in complex cross functional projects.\nExcellent skills in failure analysis of systems, circuits, and their components \nDrive technical root cause analysis and corrective actions to improve system quality.\nExcellent written and verbal communication skills.\nPrecise technical communication including deep level of engineering analysis and details.\nDemonstrated initiative with a high level of energy, and methodical & efficient problem solving skills including engineering DOEs.\nFamiliarity in system manufacturing, SMT, and transitioning new products into manufacturing.\nExperience 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.