FAQs
What is the duration of the internship?
The internship requires a minimum commitment of 4 months of full-time work.
What educational qualifications are required for this internship?
Candidates should be enrolled in a B.S. or M.S. program in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, M.B.A., or Ph.D. programs.
Are there any preferred qualifications for the applicants?
Yes, preferred qualifications include understanding of problem-solving tools, strong communication skills, familiarity with quality methodology and statistical process control methods, and experience in data analysis and visualization.
Will interns have the opportunity to work hands-on with products?
Yes, interns will perform hands-on failure reproduction, triage, and tear down of iPhones to identify root causes of issues.
What types of projects will interns work on during the internship?
Interns will work on driving quality improvement actions for current and future iPhone products, conducting data analysis, summarizing product issues, and collaborating with cross-functional teams.
Is experience in quality methodology necessary for this position?
While not strictly required, familiarity with quality methodology and tools such as Design of Experiments, statistical process control methods, and data-driven problem-solving are preferred.
What technical skills should interns possess?
Interns should have a strong foundation in engineering fundamentals, particularly in electro-mechanical interaction, and an inclination to perform hands-on diagnostics and data gathering.
Will interns need to present their findings to leadership?
Yes, interns are expected to succinctly communicate the overall status of quality issues and present highlights to cross-functional teams and executive leadership.
What kind of working environment can interns expect?
Interns will work in a highly collaborative environment on leading Apple technologies like FaceID, OLED displays, Cameras, and Inductive charging.
Is there an emphasis on data analysis in this internship?
Yes, a data-driven and results-oriented approach to problem-solving is emphasized, along with experience in data analysis, visualization, and reporting.