全职 Manufacturing Process Engineer 工作, 薪水, Mason & Co Johor 公司招聘中 - Ricebowl

Job Responsibilities

• Support and improve daily manufacturing operations to ensure smooth production flow and productivity.
• Analyze manufacturing processes and identify opportunities for process optimization, cost reduction, and quality improvement.
• Troubleshoot production issues related to process, machinery, yield, and product quality.
• Develop, review, and update SOPs, work instructions, and process documentation.
• Work closely with Production, Quality, Maintenance, and Engineering teams to improve manufacturing efficiency.
• Monitor process parameters, cycle time, downtime, and production performance indicators.
• Lead continuous improvement initiatives such as Lean Manufacturing, Kaizen, 5S, and root cause analysis.
• Support new product introduction (NPI), process validation, and line setup activities.
• Ensure manufacturing processes comply with safety, quality, and operational standards.
• Participate in CAPA activities and implement corrective and preventive actions.

Job Requirements

• Bachelor’s Degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Mechatronics, or related field.
• Minimum 3–6 years of experience in manufacturing process engineering environment.
• Strong understanding of manufacturing processes, production flow, and process improvement methodologies.
• Experience in troubleshooting manufacturing issues and implementing process enhancements.
• Familiar with Lean Manufacturing, Six Sigma, Kaizen, or continuous improvement tools.
• Knowledge in process documentation, SOP preparation, and root cause analysis.
• Good analytical, problem-solving, and communication skills.
• Able to work closely with cross-functional teams in a fast-paced manufacturing environment.
• Experience in semiconductor, precision engineering, packaging, or cleanroom manufacturing environment will be an added advantage.
• Knowledge of SPC, FMEA, CAPA, and process validation.
• Exposure to automation or manufacturing equipment improvement projects.
• Proficient in Microsoft Excel and manufacturing data analysis.