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Apple Subject Matter Expert - PVD/Coatings China, Guangdong Province, Shenzhen 368257900
25.03.2025
Description
- Investigate new materials and manufacturing methods used to coat a variety of surfaces across multiple product lines.- Engage coating and equipment suppliers to lead investigations and identify improvements in manufacturing process and material selection.- Provide structured problem solving support, organize and prioritize investigations, and drive implementation; analyze failure root cause and implement closed-loop corrective actions to ensure timely closure of quality issues.- Understand reliability testing requirements and drive production to meet specifications.- Understand relationship between thin film stack design, material, coatingprocesses and product performance. Leverage this understanding to troubleshoot production problems.- Conduct yield gap studies and develop/implement plans to close.- Optimize equipment and fixtures to drive process capability.- Proactively support identification / selection / qualification of new coatings and ink suppliers globally to enhance supply and technical capability of our supply chain.
Minimum Qualifications
- MS/PhD in Materials Science, Chemistry, Physics or equivalent
- 5+ year experience or training in thin film manufacturing or design. Experience in one or more of following process technologies is must: PVD, CVD or dry etching. Materials development experience is a plus.
- Experience or skill in one of optical simulation software: macleod, TFCALC etc.
- Experience leading process development in a dynamic manufacturing environment.
- Experience in the selection, set-up, and validation of manufacturing equipment.
- Verbal and written English proficiency.
Preferred Qualifications
- Experience or knowledge in pre-treatment process, ink printing is a strong plus.
- Ability to program-manage across multiple projects, vendors and resources.
- Ability to present technical analysis of manufacturing capability to diverse cross-functional team.
- Strong abilities and background in materials characterization (understanding of analytical tools such as SEM / TEM / EDX / FTIR / XPS etc. desirable).
- Experience in massive data analysis, coding and machine learning would be a plus.
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