Mô tả công việc
About the role
This role requires constant collaboration with multiple function teams, Engineering, Operations, and Quality within Apple as well as various suppliers during the NPI product builds at OEM supplier FATP sites. There will be a variety of working hours and weekends work will be required.
Responsibilities
- Apply solid understanding of quality control and manufacturing concepts to develop specific Product Quality Plans (PQP) appropriate to the program.
- Evaluate and communicate the yield and outgoing inspection quality of new and existing processes.
- Drive corrective actions cross‑functionally with internal and external team members.
- Develop and implement groundbreaking quality inspection tools.
- Identify and direct studies to implement improvements where appropriate.
- Establish audit procedures appropriate to program and supplier to ensure adherence to Apple quality standards.
- Collaborate with internal and external groups to ensure proper definition of quality expectations and that appropriate assurance techniques are used for the product.
- Assess CM production control and quality programs, identify shortfalls to expectation, and directly secure agreement to correct.
- Review PQP with CM and other Apple functional groups to optimize factory quality programs.
- Evaluate CM readiness and adherence to PQP at all development and qualification stages.
- Monitor quality performance through measurement of production line statistics, company inspections, and audits. Prepare summary of performance and communicate to appropriate management.
Minimum qualifications
- BS or MS or equivalent experience.
- Proven experience in consumer product process and quality area.
- Strong ability to drive corrective actions and failure analysis efforts.
- Proficiency in English.
Preferred qualifications
- Knowledge of quality and reliability concepts, supplier management, and general manufacturing operations.
- Expertise in a specific process, material or industry.
- Project management experience and a solid understanding of problem‑solving tools including design of experiments, root cause analysis and statistical process control principles.
- Experience with mechanical, EE, acoustics and ML&AI is a plus (but not required).