Perm | Process Engineer (Semiconductor / Manufacturing) | Ang Mo Kio | Up to $6000 #NKA

Recruit Express Pte Ltd; Singapore; On-site; SGD 40,000 - 67,000; Full time

Job summary

Recruit Express Pte Ltd seeks an engineering professional to lead metallurgical and materials projects, spanning casting, heat treatment, and bonding wire coating in a manufacturing setting. You will evaluate equipment and processes to boost efficiency, monitor production, and implement corrective actions.

The role emphasizes cross-functional collaboration, FMEA/DOE documentation, and driving continuous improvement to raise yield, quality, and cost efficiency, with a focus on SPC monitoring and

Qualifications

• Degree in Mechanical, Chemical, Electrical & Electronics Engineering, Physics, or related fields.
• 2 years of relevant engineering experience preferred.
• Knowledge of semiconductor interconnect, assembly materials, mechanical processing, or material characterization is advantageous.
• Experience in troubleshooting and resolving manufacturing process and product issues.
• Strong analytical, troubleshooting, and problem-solving skills.
• Familiarity with statistical tools such as SPC, Minitab, or JMP is preferred.
• Knowledge of OHS, EMS, Six Sigma, Lean Manufacturing, FMEA, DOE, and root cause analysis is advantageous.

Responsibilities

• Lead and support metallurgical and materials engineering projects involving casting, mechanical processing, heat treatment, and bonding wire coating.
• Evaluate new equipment, materials, products, and processes to improve manufacturing efficiency.
• Monitor and maintain production processes, troubleshoot issues, and implement corrective and preventive actions.
• Support daily production operations, ensuring process stability, product quality, and timely delivery.
• Collaborate with cross-functional teams to improve processes and maintain FMEA, Control Plans, and SOP documentation.
• Drive continuous improvement initiatives to enhance yield, productivity, quality, and cost efficiency.
• Monitor SPC/SQC metrics, implement CAPA, and prepare KPI reports for management.
• Work with suppliers and external partners on equipment development, automation, and process improvement projects.

Skills

Analytical skills

Troubleshooting

Problem solving

Continuous improvement

Cross-functional collab

DOE

Education

Engineering degree (Mechanical/Chemical/Electrical & Electronics/Physics)

Tools

Minitab

JMP

SPC

Job description

Location: Ang Mo Kio

Working Hours: 8:30am - 5:30pm, Mon - Fri

Salary: Up to $6000

Job Responsibilities:

• Lead and support metallurgical and materials engineering projects involving casting, mechanical processing, heat treatment, and bonding wire coating.
• Evaluate new equipment, materials, products, and processes to improve manufacturing efficiency.
• Monitor and maintain production processes, troubleshoot issues, and implement corrective and preventive actions.
• Support daily production operations, ensuring process stability, product quality, and timely delivery.
• Collaborate with cross-functional teams to improve processes and maintain FMEA, Control Plans, and SOP documentation.
• Drive continuous improvement initiatives to enhance yield, productivity, quality, and cost efficiency.
• Monitor SPC/SQC metrics, implement CAPA, and prepare KPI reports for management.
• Work with suppliers and external partners on equipment development, automation, and process improvement projects.

Job Requirements:

• Degree in Mechanical, Chemical, Electrical & Electronics Engineering, Physics, or related fields.
• Preferably 2 years of relevant engineering experience.
• Knowledge of semiconductor interconnect, assembly materials, mechanical processing, or material characterization is advantageous.
• Experience in troubleshooting and resolving manufacturing process and product issues.
• Strong analytical, troubleshooting, and problem-solving skills.
• Familiarity with statistical tools such as SPC, Minitab, or JMP is preferred.
• Knowledge of OHS, EMS, Six Sigma, Lean Manufacturing, FMEA, DOE, and root cause analysis is advantageous.