Yield Modeling Engineer Intern - Advanced Display Manufacturing
Santa Clara Valley (Cupertino), California, United States
Operations and Supply Chain
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. We are looking for an extraordinary Yield Modeling Engineer to work with our Advanced Display Manufacturing Operations team to help build an analysis engine to correlate part yield to inline parameter measurements.
- Experience building Big Data collection infrastructure and correlation engine development.
- Experience in Matlab, Tableu or similar data analysis packages.
- Experience coding in Python, C++, or similar languages.
- Exceptional communication skills - verbal, written and executive presentations.
- Experience in modeling part yield in a high-volume manufacturing environment a plus.
- Travel internationally to support development and deployment if necessary.
Work with engineering teams and manufacturing partner companies to build the infrastructure and database to collect and organize inline process data. Using data, advanced regression, and other Big Data analysis techniques, build correlation engine to drive manufacturing specification refinement. - Serve as technical leader to define and implement methodologies to organize large amounts of data coming from multiple manufacturing tools in different formats into a consolidated database. - Develop statistical models using regression and other modeling techniques to correlate part yield to manufacturing data measured inline. - Based on models refine design and process specifications. - Work with manufacturing partners and internal engineering teams to implement and validate refined specifications. - Present timely, concise reports advising on implementation progress to diverse set of program stakeholders. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy.
Education & Experience
Pursuing BS/MS in Statistics, Industrial Engineering, Mathematics, Computer Science, Electrical Engineering or related fields (Masters+ preferred)