Job Title

We are seeking a datadriven Photomask Yield Engineer to own endtoend yield analytics and drive continuous improvement across all photomask manufacturing processes. You will generate and maintain yield pareto reports, identify systemic yield detractors, lead rootcause investigations, and partner with crossfunctional teams to deliver measurable improvements in yield, cost, quality, and cycle time. Yield Analytics & Reporting Build and maintain daily/weekly/monthly yield paretos across all photomask process steps (write, develop, etch, clean, inspection/repair, pellicle attach). Analyze top yield detractors, emerging trends, excursion patterns, and process/tool correlations. Create dashboards and automated reports (e.g., Python + SQL + Power BI/Tableau/JMP) to communicate yield performance and progress to leadership and shopfloor teams. Continuous Improvement & Problem Solving Lead structured root cause analysis (8D, DMAIC, Ishikawa/Fishbone, 5 Whys), implement containment, corrective, and preventive actions. Use SPC, DOE, and regression/ANOVA to validate changes and quantify impact. Drive crossfunctional yield projects with Process, Metrology, Inspection, Equipment, and QA to reduce defectivity, variation, rework, and scrap. Partner on NPI/technology transfers to ensure robust yield ramp and stable production windows. Process & Tool Ownership (Yield Focus) Monitor and improve yield for critical modules: ebeam/laser write, develop, etch, cleans, inspection/repair (e.g., KLA, Lasertec/AIMS), registration, CD, pellicle attach. Collaborate on tool health, PM optimization, and recipe/process window tuning to minimize excursions and drift. Strengthen data integrity: traceability, lot histories, defect classification, test structures, and failure coding consistency. Basic Qualifications Bachelor's degree in Electrical Engineering, Materials Science, Chemical Engineering, Mechanical Engineering, Physics, or related field. 3+ years relevant experience in photomask, semiconductor, or advanced manufacturing (strong academic/coop background considered for entrylevel). Proficiency with data/analytics tools: Python or R, SQL, JMP/Minitab; strong Excel. Handson experience with SPC, DOE, and rootcause/problemsolving methodologies. Ability to interpret metrology/inspection data (CD, registration, defect maps, tool monitors). Preferred Qualifications Direct experience in photomask manufacturing (write, develop, etch, clean, pellicle, inspection/repair) and defect classification systems. Familiarity with AIMSactinic, KLA/Lasertec, CDSEM, registration tools, and yieldrelevant test patterns/OPC. Knowledge of phaseshift masks, MoSi/Cr stacks, pellicles, and mask shop data flows. Experience automating yield reporting with Python + SQL and visualization (Excel, Power BI/Tableau). Lean/Six Sigma certification (Green/Black Belt) or equivalent handson experience in CI projects. Demonstrated success driving crossfunctional yield improvements in highmix or highvolume environments. Familiarity with Photomask Failure Analysis methods to identify defect root cause.