世界最知名社媒龍頭美商： Semiconductor Product Engineer

【Client Description】

A forward-thinking tech giant is aggressively investing in the future of spatial computing to dominate the next hardware paradigm. By developing cutting-edge augmented reality glasses, the enterprise aims to revolutionize digital advertising and workplace collaboration. This strategic pivot positions the conglomerate to capture unparalleled market share in the emerging metaverse economy.

【Candidate Profile】

• Education: BS/MS in Materials Science, Electrical Engineering, Optical Engineering, Physics, or related semiconductor field.
• Experience: 3–7 years in semiconductor/display quality engineering, preferably in Packaging and Semiconductor manufacturing.

《Technical Skills》

• Strong experience with IQC/OQC processes and quality management systems.
• Proficiency in data analysis tools (Excel, Google Sheets, Python/Pandas, or statistical software like JMP/Minitab)
• Familiarity with inspection/metrology equipment: AOI systems, optical microscopy, ellipsometry, AFM, profilometry
• Understanding of wafer-level testing, epi characterization, and display module assembly quality control
• Experience with FMEA, SPC, GRR studies, and corrective action processes (8D, OCAP)
• Communication: Proficient in English (written and verbal); Mandarin Chinese strongly preferred for local supplier coordination
• Soft Skills: Detail-oriented, data-driven, ability to work cross-functionally across time zones (Taiwan / US / Ireland)

【Responsibilities】

《IQC/OQC Data Management & Analysis》

• Map, maintain, and interpret IQC (Incoming Quality Control) and OQC (Outgoing Quality Control) data tables for uLED dies, Chip on Tape m packaging and and Optical projectors.
• Perform data correlation analysis between supplier OQC and Meta IQC measurements (e.g., optical, dimensional, cosmetic)
• Track and report quality metrics across inspection stations including AOI (Automated Optical Inspection), ellipsometry, AFM, TXRF, and visual inspection
• Support data validation and GRR (Gauge Repeatability & Reproducibility) studies for IQC/OQC measurement systems

《Quality Feedback & Coordination》

• Interface with supplier quality teams to communicate material quality requirements, spec deviations, and corrective actions
• Consolidate and communicate quality team feedback on material performance, yield impact, and defectivity trends with clear reports.
• Support ERS (Engineering Requirements Specification) documentation for IQC/OQC test coverage and spec limits.
• Participate in OCAP (Out of Control Action Plan) setup and execution with suppliers

《Data Comparison & Reporting》

• Compare material quality data across multiple supplier sites and incoming inspection points.
• Generate periodic quality reports correlating IQC/OQC data with downstream yield and device performance.
• Support quality readiness reviews (QRR) and build readiness reviews (BRR) with relevant IQC/OQC data summaries.
• Track OQC/IQC correlation coefficients and flag gaps or drift in measurement systems