Responsibility and Tasks:
- Leading innovative and strategic solutions to enhance frontend manufacturing processes, improve product yield and quality.
- Leverage transformative technologies including but not limited to advanced modeling, process simulation/emulation, advanced data analytics, smart manufacturing and AI techniques, to identify area of improvement and prescribe solutions with model-based problem solving process;
- Leading with cross-functional teams, including but not limited to PI, YE, PEE, RAM and SMAI teams, to design and implement solutions aimed at optimizing yield and reducing defect;
- Leading strategic roadmap design and implementation plan with suppliers;
- This role requires in-depth expertise in frontend process technologies, as well as strong focus on research and development to stay ahead of industry trends and drive continuous improvement in yield and quality
Requirements:
- Master/PhD in Electrical Engineering, Computer Engineering, Industrial & System Engineering, Mechanical Engineering, Chemical Engineering, Material Engineering, Applied Statistics, Applied Mathematics, Operation Research, or other relevant engineering/science fields
- More than 5 years working experience in semiconductor industry
- In-depth knowledge in semiconductor frontend processes and integration, design and testing
- Proficiency in design of experiments, advanced data analytics and visualization
- Hands-on skill on scientific programming languages e.g. Python, MATLAB, R is bonus
- Excellent oral and written communication skills
- Able to work independently or with a cross functional team
- Good organization skills. Ability to plan and prioritize
- Self-motivation and strong willingness for continuous improvement
- Flexibility to travel to sites to support solution deployment
