Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple Product Quality Engineer - iPad 
China, Guangdong Province, Shenzhen 
448936102

08.02.2025
Description
Uses production and field data to monitor, control, and improve product quality to improve the yield and reduce the field return rate. Implement Product Quality plans for new products at CM site and manage the product quality at the sites. Perform Audits at the manufacturing partners to ensure compliance. Ensure lessons learned from prior projects are used to improve the quality management process and lead to improved product quality and reliability. Be responsible for implementing quality systems and following through on improvements and corrective actions.
Minimum Qualifications
  • BS or equivalent experience in Electronic or Electro-Mechanical Engineering, Master's degree, or MBA is a plus.
  • Minimum 3 years of quality or test-related working experience
  • Demonstrated technical skills including experience and understanding of Assembly, test, or Pack-out processes.
Preferred Qualifications
  • In-depth knowledge of quality methodologies with command of tools including statistical analysis, DOE, FMEA, etc.
  • Highly motivated and able to drive closure of issues across cultures.
  • Strong interpersonal and communication skills, ability to concisely understand and communicate issues, and manage a team to solve are required.
  • Ability to multi-task, balancing daily activities with project-related activities.
  • Excellent written and verbal communication skills in English.
  • A person with high passion and energy.
  • Experience working in the consumer goods industry where cosmetic quality is as critical as functionality.
  • Experience in display or display integration manufacturing/ quality management is a plus.
  • Experience in handling the manufacturing process of manual assembly, semi-auto, and auto assembly is a plus.
  • Knowledge of shop floor control is a plus.
  • Knowledge of massive data analysis, and machine learning would be a plus.