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Engineer, Process Engineering

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Onsite

Engineer, Process Engineering

TENPOWER MALAYSIA SDN. BHD.

Engineer, Process Engineering

Skills

R

1 month ago

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Important information


Contract type:

Permanent

Location:

Kuala Selangor, Selangor, Malaysia

Work mode:

Onsite

Published on:

23 September 2026

What they need


Key Responsibilities

  • Optimize manufacturing process to ensure stable production performance, high yield, and product quality.

  • Troubleshoot and resolve process-related issues involving process defects, alignment, wrinkles, telescoping and cell quality concerns.

  • Analyze process data and implement continuous improvement initiatives to improve OEE, cycle time, scrap reduction, and process capability.

  • Collaborate closely with cross-functional teams including Production, Quality, Equipment, Maintenance, R&D, and Industrial Engineering to achieve operational targets.

  • Drive root cause analysis (RCA) and corrective/preventive actions using structured problem-solving methodologies (e.g., 8D, Fishbone, 5 Why, DOE, SPC).

  • Support new product introduction (NPI), process validation, and mass production ramp-up activities.

  • Develop and maintain process parameters, SOPs, control plans, PFMEA, and work instructions.

  • Monitor critical process indicators and establish robust process controls to maintain product consistency.

  • Support equipment qualification, troubleshooting, and process tuning for winding machines.

  • Participate in yield improvement and cost reduction projects.

Requirements

  • Bachelor’s Degree in Engineering (Mechanical, Electrical, Chemical, Mechatronics, Manufacturing, Materials, or equivalent).

  • 2-5+ years of experience in manufacturing process engineering, preferably in battery, semiconductor, electronics, automotive, or precision manufacturing industries.

  • Strong knowledge in process optimization, statistical analysis, SPC, DOE, FMEA, and problem-solving methodologies.

  • Familiarity with lithium-ion battery manufacturing is preferred.

  • Strong analytical and troubleshooting skills with a data-driven mindset.

  • Good communication skills and ability to work in a cross-functional and fast-paced environment.

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