We are seeking a data-driven
Photomask Yield Engineer to own end-to-end yield analytics and drive continuous improvement across all photomask manufacturing processes. You will generate and maintain yield pareto reports, identify systemic yield detractors, lead root-cause investigations, and partner with cross-functional 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 shop-floor 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 cross-functional 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: e-beam/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 entry-level).
- Proficiency with data/analytics tools: Python or R, SQL, JMP/Minitab; strong Excel.
- Hands-on experience with SPC, DOE, and root-cause/problem-solving 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, CD-SEM, registration tools, and yield-relevant test patterns/OPC.
- Knowledge of phase-shift 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 hands-on experience in CI projects.
- Demonstrated success driving cross-functional yield improvements in high-mix or high-volume environments.
- Familiarity with Photomask Failure Analysis methods to identify defect root cause.