Sustain production line, SPC/FDC (statistical process control / fault detection classification) monitoring, CPK improvement, and troubleshooting support for process and tool issues.

Support Process CIP (continuous improvement projects) to improve process robustness, cost and capacity efficiency.

Develop new process recipes for new/existing technologies.

Improve process performance indices adopting big data analytic, statistical analysis and structured problem-solving methodologies.

Work with cross functional teams, cross fabs and OEM suppliers for BKM (best known method) convergence on recipes, material, method and I4.0 automation.

Support company's production ramp schedule by process qualification, productivity improvement and new tool release.

Provide training and guidance to Associate Engineers (AEs) to support day-to-day operational requirements.

Opportunities for job rotation and overseas assignment.

Opportunities to file patents, author technical papers for publication and present at local or overseas seminars.

MS/BS in Chemical Engineering, Electrical/Electronic Engineering, Mechanical Engineering, Materials Science Engineering, Chemistry & Physics and other relevant qualification with education in

Good team player, able to work independently, resourceful, willing to learn new skills with good initiatives.

Strong communication skills (interpersonal, oral and written).

Knowledge in big data analysis and use of AI/ML, coding like python is a plus.

Knowledge in wafer fabrication is a plus.

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