Drive Continuous Improvement Project (CIP) to achieve best in class in yield, quality, and cost.
Independently manage your own projects to meet Key Performance Indices.
Set-up SPC for equipment critical parameters monitoring and control and improve process with proper DOE to capability >1.67.
Write Work Instruction, guideline and training checklist for operation and modules to follow up.
Transfer, develop and/or release new processes. Characterize and improve existing/new processes through DOE and date driven analysis.
Able to carry through Change Request Board/ customers for Qualification of new tools/ new recipes developed with proper data analysis. (T-test requirement)
Drive Process FMEA and risk analysis for existing and new process being qualified.
Train the module AE and Technician on module processes, SOP and OCAP.
Identify process simplification opportunities and drive cross functional teams in implementation Incorporate best known manufacturing methods into early development phase of upcoming nodes.
Perform process matching between equipment to reduce variation and analysis / DOE to find factors for better tool matching.
Represent own Module to attend cross-functional task team to address yield improvement / excursion issues. Follow up with cross-fab benchmarking activities to engage the best-in-campus practices across fabs.
Provide feedback/training to AEs or Techs on their troubleshooting skills, understanding of processes, decision making, risk assessment.
Requirements:
Candidate must possess Bachelors/Masters/PhD graduates in Materials Science, Microelectronic Engineering, Electronic Engineering, Electrical Engineering, Materials Science, Mechanical Engineering and Physics are welcomed to apply.
Demonstrated experience in semiconductor foundry module process.
Minimum 3 years working knowledge and experience in the field of Process Engineering in Metrology/Diffusion/Implanter/RTA/RTP.
Strong knowledge and experience with FDC, SPC, DOE, FMEA, MES, 8D and statistical analysis software.
A deep understanding of thickness measurement with different film types from single and multi-stacks.
Proven leadership skills in leading cross-functional teams and managing projects related to process improvement or technology transfer.