Senior Process Engineer: PFMEA & Lean Process Optimization

MRD KL

Shah Alam

On-site

MYR 120,000 - 180,000

Full time

5 days ago
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Job summary

MRD KL is seeking an experienced Process Engineer to join our team in Malaysia. The role focuses on troubleshooting, optimizing production processes, and ensuring PFMEA and Control Plans are in place for new and existing products.

The ideal candidate will have a degree in Mechanical Engineering with at least 5 years in manufacturing process engineering, and familiarity with APQP, NPI, and engineering changes. Proficiency in PFMEA, SPC, MSA, and Lean Six Sigma methodologies is preferred.

Qualifications

  • Degree in Mechanical Engineering or related discipline.
  • Minimum 5 years in manufacturing process engineering or related roles.
  • Experience with PFMEA, Control Plans, SPC, MSA; ISO/IATF knowledge.
  • Experience with APQP, NPI, process qualification and engineering change activities.

Responsibilities

  • Troubleshoot process issues and implement corrective actions.
  • Monitor process performance and identify improvement opportunities.
  • Develop and maintain SOPs, process specifications, PFMEA, etc.
  • Establish and optimize process parameters for new and existing products.
  • Participate in Lean Six Sigma projects and productivity initiatives.
  • Train operators, production supervisor and technicians on process requirements and best practices.

Skills

Lean Manufacturing
Six Sigma
Continuous improvement

Education

Bachelor's degree in Mechanical Engineering

Tools

AutoCAD
Inventor

Job description

MRD KL is seeking an experienced Process Engineer to join our team in Malaysia. The role focuses on troubleshooting, optimizing production processes, and ensuring PFMEA and Control Plans are in place for new and existing products.

The ideal candidate will have a degree in Mechanical Engineering with at least 5 years in manufacturing process engineering, and familiarity with APQP, NPI, and engineering changes. Proficiency in PFMEA, SPC, MSA, and Lean Six Sigma methodologies is preferred.

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