Core Technologies Quality Engineer

Apple is seeking an experienced Quality Engineer to join their Core Technologies team, focusing on driving quality improvements for future products through data-driven approaches and AI integration. This role combines traditional quality engineering expertise with modern data science and AI capabilities.

The position requires a unique blend of manufacturing quality expertise and technical data skills. You'll be responsible for implementing quality improvement initiatives, conducting failure analyses, and developing quality monitoring systems. A key aspect of the role involves leveraging Python programming and Tableau visualization to automate processes and derive insights from manufacturing data.

The ideal candidate will have a strong foundation in quality engineering principles while being comfortable with modern data tools and AI applications. You'll work on integrating AI workflows to enhance quality processes, making them more efficient and scalable. This includes developing smart search capabilities, automated report generation, and intelligent issue triage systems.

The role offers an opportunity to work with cutting-edge technologies at Apple's scale, directly impacting product quality across global manufacturing operations. You'll collaborate with cross-functional teams including engineering, operations, and software development to implement innovative quality solutions.

This position comes with competitive compensation including base pay between $128,400 and $236,700, plus additional benefits such as stock options, comprehensive healthcare, and education reimbursement. The role requires up to 25% international travel and is based in Cupertino, California.

You'll be joining Apple's Machine Learning and AI team, where you'll have the chance to influence how AI technologies are applied to real-world manufacturing challenges. This is an excellent opportunity for someone who wants to bridge the gap between traditional quality engineering and emerging AI capabilities, working on products that impact millions of users worldwide.

The role requires a bachelor's degree in a relevant engineering field and at least 5 years of experience in manufacturing or quality engineering. Strong candidates will have experience with Python programming, data visualization tools, and a demonstrated ability to apply technical solutions to complex manufacturing challenges.