Editorial summary

The company is seeking a Process Engineer (Semiconductor, Yield & Process Improvement) to oversee manufacturing process performance and drive production, quality, and yield objectives within a semiconductor environment. The role partners with global technology teams and internal stakeholders on process qualification, process transfer, and evaluation of new materials, suppliers, and consumables, while leading cross-functional initiatives to strengthen process capability and address recurring issues. Responsibilities include analyzing process data to identify trends and improvement opportunities, coordinating technical investigations and corrective actions, and developing sustainable processes. Key requirements include experience in semiconductor manufacturing, process engineering, and data-driven problem solving; the position offers a salary of 5500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/process-engineer-semiconductor-yield-process-improvement-38848 first appeared in Job-Q.com on 20 Oct 2026]

• Oversee manufacturing process performance and work towards production, quality and yield objectives within a semiconductor environment.
• Partner with global technology teams and internal stakeholders on process qualification, process transfer and evaluation of new materials, suppliers and consumables.
• Lead cross-functional initiatives to strengthen process capability, improve yield and address recurring process or quality issues.
• Analyse process data to identify trends, losses and improvement opportunities, coordinating technical investigations and corrective actions.
• Develop sustainable process solutions and improvement practices using structured problem-solving and statistical methodologies.

Requirements:

• Degree in Engineering, Science or equivalent.
  At least 2 years of experience in semiconductor or precision manufacturing industry.
• Strong understanding of process control, quality systems, statistical analysis, SPC and Design of Experiments (DOE).
• Experience applying structured problem-solving techniques such as 8D, Fishbone analysis, DOE and FMEA.
• Proficiency in statistical analysis tools such as JMP; knowledge of Visual Basic, databases or query tools.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to 

Please note that only shortlisted candidates will be notified.

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