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Apple Product Quality Engineer-iPad China, Guangdong Province, Shenzhen 448936102
18.11.2024
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Description
- The person will need to develop a close working relationship with our manufacturing partners. - 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.
- - 5 to 10 years of proven experience in Manufacturing Environment
- - 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.
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