Process Engineer

Siltronic Silicon Wafer Pte Ltd; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Siltronic Silicon Wafer Pte Ltd in Singapore seeks a Process Engineer to manage wafer manufacturing processes, aiming for quality, yield and production targets. You will collaborate with global Technology teams on process alignment and qualification of new processes.

You will work with cross-functional teams to drive process capability, yield improvements, and continuous improvement using DOE, SPC, and problem-solving methods, while helping qualify new processes and suppliers.

Qualifications

• Degree in Engineering or Science.
• Knowledge of quality management systems and SPC.
• Experience with DOE and statistical analysis.
• Familiarity with JMP or similar statistical software.
• Strong analytical and communication skills.
• Team-oriented with proactive learning attitude.

Responsibilities

• Manage wafer manufacturing to meet quality, yield, and production targets.
• Collaborate with global Technology teams on process alignment and qualification of new processes and suppliers.
• Work with cross-functional teams on process capability and yield improvement projects.
• Coordinate troubleshooting of process issues and yield losses.
• Drive continuous improvement and permanent solutions for chronic process and quality issues.
• Develop best practices and innovative solutions for continuous improvement.
• Perform statistical data analysis for process improvement.
• Apply 8D, Fishbone, DOE and risk analysis (FMEA).

Skills

Process optimization

Statistical data analysis

Team collaboration

Problem solving

Communication skills

Education

University degree in Engineering or Science

Tools

JMP

Visual Basic

Databases/Querying

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