Process Engineer

SILTRONIC SILICON WAFER PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading company in the semiconductor industry seeks a passionate individual to manage and improve wafer manufacturing processes. The ideal candidate will hold a degree in Engineering or Science, possess strong analytical skills, and drive continuous process improvements. Join us to innovate and excel in a dynamic environment.

Qualifications

• University degree in Engineering or Science required.
• Proficient in data analysis and quality management systems.
• Knowledge of statistical software and problem-solving methods is a plus.

Responsibilities

• Manage wafer manufacturing process to achieve quality and production targets.
• Collaborate globally on process alignment and qualification.
• Coordinate troubleshooting of process issues and yield losses.

Skills

Data analysis

Quality management systems

Communication skills

Analytical skills

Problem solving methods

Design of Experiments (DOE)

Education

University degree in Engineering or Science

Tools

Statistical software (JMP)

Visual Basic

Job description

Job Responsibilities:

• Manage wafer manufacturing process in achieving quality, yield, quality and production targets.

• Collaborate with Technology counterparts globally on process alignment and qualification of new processes, suppliers and consumables if needed

• Work with cross-functional teams on process capability improvement and yield enhancement projects

• Coordinate troubleshooting of process issues and yield losses

• Drive for continuous process improvement and permanent solutions to resolve chronic process and quality issues.

• Develop best practices, routine and innovative solutions for continuous improvement

• Perform Statistical data analysis for process improvement and interpretation of data

• Apply problem solving methods (8D, Fishbone, DOE etc.) and risk analysis (like FMEA)

Job Requirements:

• University degree in Engineering or Science

• Knowledge of quality management systems, data analysis, Design of Experiments (DOE) and statistical process control (SPC)

• Proficient in statistical software like JMP, visual basic, database and queries will be an added advantage

• Self-motivated and able to work well in a team

• Good analytical and communication skills

• Willingness and curiosity to learn attitude