Supplier Quality Engineer - Equipment

In this role you will: Partner with equipment suppliers and Apple’s technical team to align on quality control specs and requirements, assess supplier capabilities, and validate readiness for MP roll out. Define and implement Quality plan through DFM and SOP for new features and projects at supplier and supervise the execution of the program through ramp. Provide clear, concise reports on supplier readiness and critical quality/compliance issues to stakeholders and executive management. Oversee supplier factory preparations, quality control, and intensive outgoing inspections during new program design, validation, and production ramp-up. Drive automation of supplier Quality Management Systems (QMS) using new technologies, integrating customized quality control criteria into standardized processes. Drive vendor performance assessment through scorecard system. Quality control criteria update based on engineering changes Besides the above, you might also: Support new vendors in establishing and implementing QMS with ongoing monitoring of execution. Drive vendors to develop efficient, accurate quality and compliance reports quality continuous improvement. Audit vendor regular maintenance activities to ensure equipment performance and sustained compliance with quality standards. Partner with TechOps FACA and drive actions plans to equipment quality related issues Minimum Qualifications Bachelor’s Degree or equivalent in Engineering (mechanical, electrical, automation, or related fields) Proven experience with 3C customized capital equipment or high-precision components (e.g., robots, vision systems, measurement tools) Strong adaptability to navigate ambiguous scenarios and dynamic project demands Technical curiosity with hands-on experience in equipment specifications and quality validation Exceptional conflict resolution and interpersonal skills to collaborate across teams and suppliers Preferred Qualifications Quality management experience in customized manufacturing or equipment supply chains Experience in massive data analysis, coding and machine learning would be a plus Experience of leveraging AI or emerging technologies to enhance work efficiency and quality processes