Process Engineer – CI, Troubleshooting & Data Analytics

Infineon Technologies; Kulim; On-site; MYR 90,000 - 130,000; Full time

Job summary

Infineon Technologies, a global leader in semiconductor solutions for power systems and IoT, seeks an engineer to monitor processes, drive CIP initiatives and support installations. The role emphasizes data analysis, experimentation and FMEA to deliver reliable, efficient manufacturing outcomes.

Ideal candidates hold a Master’s in engineering or science, possess strong English skills, and enjoy applying IoT-based thinking and statistics to improve processes in a collaborative, high-stakes

Qualifications

• The candidate holds a Master’s degree in engineering or science disciplines such as chemical, mechanical, nuclear, physics or chemistry.
• Strong English oral and written communication skills are required.
• Interest in developing IoT-based approaches to improve processes and status quo.
• Proficiency in data analysis using Excel, Tableau or Python; solid foundation in statistics.
• Willingness to stand for extended periods during process troubleshooting and to work in a team.

Responsibilities

• Monitor machine/process indices to identify critical patterns and troubleshoot per plan.
• Drive continuous improvement projects to reduce cost, scrap, manpower and improve throughput/uptime.
• Support machine installation and process startup following Infineon protocol.
• Design (JMP) and conduct experiments for CIP activities.
• Perform FMEA on process changes and ensure timely delivery.

Education

Master's degree in engineering or science

Tools

Excel

Tableau

Python

Job description

Infineon Technologies, a global leader in semiconductor solutions for power systems and IoT, seeks an engineer to monitor processes, drive CIP initiatives and support installations. The role emphasizes data analysis, experimentation and FMEA to deliver reliable, efficient manufacturing outcomes.

Ideal candidates hold a Master’s in engineering or science, possess strong English skills, and enjoy applying IoT-based thinking and statistics to improve processes in a collaborative, high-stakes