OMT RAM RDA Process Optimization Engineer
On-siteTaichung, Taiwan, Taiwan
Job Summary
Develop and apply process and defect simulation models to understand defect generation mechanisms across key wafer fabrication steps. Correlate simulation results with inline defect, EBI, process data, and yield indicators to identify true root causes of defects. Drive data-backed process optimization strategies to expand process windows and improve yield and reliability. Perform what-if simulations to evaluate the impact of process parameter changes, material variations, or equipment conditions. Partner with process, integration, and equipment engineers to translate simulation insights into fab-implementable actions. Lead or support defect reduction, yield improvement, and cost reduction projects using structured problem-solving methodologies (FA, FMEA, DOE, SPC, 8D). Support new process introduction (NPI) and baseline qualification by assessing defect risks through modeling and simulation. Document models, assumptions, and results; continuously improve simulation methodologies and best practices.
Required Qualifications
- Master's degree in Engineering (Semiconductor, Materials, Chemical, Mechanical, Electrical, Physics) or related field
- Hands-on experience in semiconductor process engineering, yield engineering, defect analysis, or simulation-related roles
- Strong analytical mindset with proven experience in process defect root cause analysis
- Ability to analyze and interpret manufacturing and process data (inline, metrology, defect, yield) and translate results into clear technical conclusions
- Strong communication skills with the ability to explain complex simulation results and physical insights to cross-functional engineering teams
Desired Qualifications
- PhD or advanced Master's degree in Engineering, Physics, or a related discipline
- Experience with process, defect, or physical modeling and simulation tools (e.g., TCAD, process simulation, statistical modeling, or custom-built models)
- Familiarity with yield modeling, defect density analysis, and process window optimization methodologies
- Experience integrating simulation outputs with SPC, inline metrology, defect inspection, or yield analysis data
- Demonstrated track record of successfully applying simulation or analytical approaches to deliver measurable defect reduction or yield improvement
- Knowledge of semiconductor manufacturing change management, risk assessment, and internal or customer audit requirements
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