Industrial Engineer — Throughput & Efficiency Optimizer

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd

Bayan Lepas

On-site

MYR 110,000 - 170,000

Full time

3 days ago
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Job summary

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd in Penang is seeking an experienced Industrial Engineer to drive efficiency in manufacturing operations. You will establish and maintain IE time standards, analyze bottlenecks, and collaborate with R&D to enable capacity improvements.

Ideal candidates hold a bachelor’s degree in engineering and have at least five years of industrial engineering or semiconductor manufacturing experience, with a track record of data-driven improvements and

Qualifications

  • Bachelor’s degree in Engineering or equivalent, preferably Industrial/Mechanical/Manufacturing.
  • Minimum 5 years of experience in industrial engineering or semiconductor manufacturing operations.
  • Strong data analysis and time‑standardization skills.

Responsibilities

  • Establish and evaluate IE time standard periodically through time/motion studies to ensure data is reliable, transparent and updated timely per changes implemented.
  • Analyze actual operational performance, bottlenecks, and improvement opportunities.
  • Propose and drive productivity plan to improve machine throughput, line capacity, capital utilization, labor efficiency, cycle time and product cost.
  • Perform work content study and setup new modeling to define machine or labor requirement.
  • Support R&D projects on IE data preparation, gap analysis and capacity improvement opportunities.
  • Collaborate with cross functional teams to achieve company KPI targets.

Skills

Industrial Engineering
Manufacturing Operations

Education

Bachelor’s Degree in Engineering or equivalent

Job description

OSRAM Opto Semiconductors (Malaysia) Sdn Bhd in Penang is seeking an experienced Industrial Engineer to drive efficiency in manufacturing operations. You will establish and maintain IE time standards, analyze bottlenecks, and collaborate with R&D to enable capacity improvements.

Ideal candidates hold a bachelor’s degree in engineering and have at least five years of industrial engineering or semiconductor manufacturing experience, with a track record of data-driven improvements and

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