Wet Process Engineer — Night Shift & Yield Optimizer

STMicro; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

STMicroelectronics is seeking a Process Engineer to ensure stable, efficient, and high-quality production by executing process experiments, monitoring performance, solving technical issues, and collaborating with Process Engineers, Equipment Engineers, and Production.

The role involves 12-hour shift operations, supporting project execution, and driving yield and defect reduction through data-driven analysis and empowered teamwork.

Qualifications

• Bachelor's Degree in Engineering.
• 3–5 years of semiconductor experience.
• Experience in cleanroom environments and wafer processing is an advantage.
• Familiarity with SPC tools, data analysis and problem-solving methods (5 Why, Pareto).
• Ability to work with MES, process control, and reporting systems.
• Strong analytical and teamwork skills.

Responsibilities

• Process Monitoring & Controlling during 12hrs shift working.
• Support to Process Engineering team on Project execution & deployment.
• Yield, Quality & Defect Reduction based on engineering analysis.
• Operations & Equipment Support to maintain UP Time for critical tool group.
• Strong quality sensitivity & alertness to discover weak signals early.
• Continuous Improvement & EHS Compliance.
• Training, Follow Procedure, Personal Development.
• Self-Discipline / Behavior / Willingness to learn.

Skills

SPC tools

Data analysis

Problem solving

MES

Process control

Communication & teamwork

Night shift

On-call overtime

Education

Bachelor's Degree in Engineering

Tools

MES

Process control systems

Reporting systems

Job description

STMicroelectronics is seeking a Process Engineer to ensure stable, efficient, and high-quality production by executing process experiments, monitoring performance, solving technical issues, and collaborating with Process Engineers, Equipment Engineers, and Production.

The role involves 12-hour shift operations, supporting project execution, and driving yield and defect reduction through data-driven analysis and empowered teamwork.