Investigate root causes of yield loss in a volume semiconductor-manufacturing environment and track parametric and defect-related yield loss for RF filter product lines.
Deploy yield enhancement strategies to quickly characterize and react to yield issues and baseline shifts, performing first-level commonality analysis using sort yield data, inline metrology data, and defect data.
Develop and utilize tools for yield enhancement, including systems for tracking, reporting, and analyzing yield-related issues to simplify data interpretation.
Compile findings into daily, weekly, and monthly reports for internal stakeholders to support decision-making processes.
Analyze test parametric data, defect mapping, SPC (Statistical Process Control) data, inline metrology data, AOI (Automated Optical Inspection) data, and defect pareto charts to identify trends and issues.
Collaborate with Process and Equipment Engineers to resolve yield issues by initiating corrective actions based on analysis results.
Contribute to productivity improvement projects through process optimization using quality improvement tools and methodologies.
Assist in identifying opportunities for cost-saving projects related to process improvements and yield enhancement.
Work closely with Technology Development engineers to address process restrictions or equipment limitations impacting product yield or quality.
Support cross-functional teams in implementing solutions for yield improvement while ensuring alignment with production goals.
Participate in both short-term problem-solving efforts and long-term continuous improvement projects aimed at achieving targeted product yields.
Monitor product yields daily to identify low-yield issues early and highlight potential risks in production output for mitigation.
Develop new methods or tools for yield enhancement independent of existing practices to drive innovation in problem-solving.
Job Requirements
Bachelor's degree in Engineering (Electrical, Mechanical, Computer Science, or related field).
3-5 years of experience in semiconductor manufacturing or a related industry.
Proficiency in data analysis tools (e.g., Excel, JMP, MATLAB) and familiarity with SPC techniques.
Strong analytical skills with the ability to interpret complex datasets.
Experience with backend wafer process and probe test analysis is preferred.
Ability to work independently while collaborating effectively with cross-functional teams.
Excellent communication skills for reporting findings and driving corrective actions.
