Semiconductor Process Engineer: Lithography & Yield

RRecruiter; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

RRecruiter is seeking a semiconductor process engineer to monitor parameters, troubleshoot abnormalities, and make lot disposition decisions to keep production stable.

You will support yield and productivity through data analysis and experiments, optimize key process parameters, evaluate new materials and methods, and collaborate with cross-functional teams to drive continuous improvement in a fast-paced manufacturing environment.

Qualifications

• Bachelor's degree in Electronics, Electrical & Electronics, Mechanical, Chemical Engineering, Materials Science, Physics, or related fields.
• Minimum 2 years of semiconductor process/manufacturing experience.
• Hands-on experience in lithography or thin-film semiconductor processes is required.
• Familiarity with 22nm/28nm or smaller technology nodes and tools such as SPC, DOE, FMEA, or 8D is a plus.

Responsibilities

• Monitor process parameters, troubleshoot abnormalities, and make lot disposition decisions to ensure stable production.
• Support yield, productivity, and process improvement through data analysis and experiments.
• Establish and optimize key process parameters for semiconductor equipment.
• Evaluate new materials, equipment, and process methods to improve quality and efficiency.
• Collaborate with cross-functional teams to resolve issues and drive continuous improvement.

Education

Bachelor's degree in Electronics, Electrical & Electronics, Mechanical, Chemical Engineering, Materials Science, Physics, or related fields

Minimum 2 years semiconductor process/manufacturing experience

Hands-on lithography or thin-film semiconductor processes

Familiarity with 22nm/28nm nodes; SPC/DOE/FMEA/8D

Tools

SPC

DOE

FMEA

8D

Job description

RRecruiter is seeking a semiconductor process engineer to monitor parameters, troubleshoot abnormalities, and make lot disposition decisions to keep production stable.

You will support yield and productivity through data analysis and experiments, optimize key process parameters, evaluate new materials and methods, and collaborate with cross-functional teams to drive continuous improvement in a fast-paced manufacturing environment.