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Apple Subject Matter Expert - PVD Coatings China, Hunan 268033696
19.09.2024
Description
Investigate new materials and manufacturing methods used to coat a variety 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, coating processes and product performance. Utilize 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.
- Verbal and written English proficiency.
Preferred Qualifications
- Experience or skill in one of optical simulation software: macleod, TFCALC etc.
- Experience or knowledge in pre-treatment process, ink printing and materials development.
- Experience leading process development in a dynamic manufacturing environment.
- Experience in the selection, set-up, and validation of manufacturing equipment.
- 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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