Manufacturing Quality Engineer - Iphone

Apple Apple · Big Tech · Shenzhen Metro Area, Guangdong, China · Operations and Supply Chain

This role focuses on manufacturing quality engineering for iPhone production, involving the development of quality inspection tools, process control, data evaluation for specifications, and collaboration with cross-functional teams and suppliers to ensure product quality and yield at scale.

What you'd actually do

  1. You will partner with multi-functional teams to evaluate design and processes at the concept phase
  2. Develop measurement technologies, control strategies, information systems, and manufacturing methods that achieve adventurous specifications at mass production scale
  3. You will develop and implement groundbreaking quality inspection tools to evaluate cosmetic and dimensional part characteristics
  4. Compile and evaluate data to determine appropriate limits and variables for process and part specifications
  5. Drive corrective actions multi-functionally with internal and external team members

Skills

Required

  • BS or equivalent experience in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, or similar
  • Experience in manufacturing and quality control
  • Experience developing process quality plans, supplier quality audits, and driving corrective actions and failure analysis efforts

Nice to have

  • Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations
  • Experience with the development and evaluation of measurement systems
  • Project management experience and a deep understanding of problem solving tools including design of experiments, root cause analysis and statistical analytical tools
  • Experience with any of the following: mechanical enclosures, castings, plastic parts, injection molding, tooling, jigs, fixtures, or automotive high volume quality manufacturing engineering
  • Exceptional ability to establish relationships; data-driven and willing to take action; enthusiastic and motivated; and detailed while managing several work streams.
  • Knowledge on Data Science, including Statistics, Machine Learning, Regression are preferred