Job title: Quality Engineer – Product Operations Internship Programme
Quality Engineer – Product Operations Internship Programme Job Details:
Apple is a place where extraordinary people gather to do their best work. Together we build products and experiences people once couldn’t have envisioned – and now can’t imagine living without. Are you excited by the idea of making a real impact? Are you prepared to dream big? Then a career with Apple might be your dream job! The Apple Product Operations team has developed a quality engineering intern programme. Our programme is designed to give you exposure to the key functions of Product Operations including manufacturing engineering, quality, Reliability Engineering, test engineering, software development, production and New Product Introduction. If you have strong technical skills, an educational background in engineering and love working with other people, then this could be an amazing opportunity to come and work with us. We’d love to hear from you.
Key Qualifications Key Qualifications
- Process development skills
- Hardware failure analysis skills
- Problem solving and communication skills
- Strong documentation skills
- MS Excel and data driven skills
- Familiarity with Apple hardware and software technologies
- Experience in reliability (REL) testing and quality control.
- Experience with statistical analysis
Ensure quality standards are met for all Apple Mac and iOS products Quality process development and implementation (customer quality audit, out of box audit, etc.) Continuous process improvement and optimisation, driving key performance metrics (Yield, UPH, Order Cycle Time, Cost, Scrap, DPPM, CPK etc.) Provide direction and support to Regional technician and production trainer teams Data analysis (test results, key performance indicators, etc.) Documentation creation and release Participate in new projects for global implementation Work closely with Quality Engineering, Computer Integrated Manufacturing, as well as Quality and Technical teams worldwide
Education & Experience Education & Experience
Enrolled in B.Eng (Hons), M.Eng in Applied Mathematics/Physics, Statistics, Mechanical/Process Engineering or Machine Learning (or equivalent Third Level engineering qualification).
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