Equipment Development Engineer — Yield & Process Improvement

Sandisk; Batu Kawan; On-site; MYR 66,960 - 111,600; Full time

Job summary

Sandisk Malaysia is seeking an Equipment Engineer to troubleshoot and maintain manufacturing lines. You will generate and update documentation (FMEA/SOP/WI), investigate line abnormalities and drive yield and productivity improvements with the NPI and Process teams.

The role requires a Bachelor's degree in Electrical or Mechanical Engineering and 3–5 years of related equipment engineering experience; strong data analysis, QC tools, and English communication are essential.

Qualifications

• Bachelor or above in Electrical Engineering or Mechanical Engineering.
• 3-5 years working experience in Equipment Engineering related.

Responsibilities

• Machine troubleshooting and preventive maintenance.
• Documents (FMEA/Training material /SOP/WI) generation, update and preventive maintenance.
• Line abnormal, quality issue, yield loss investigation and in time action taken.
• Lead KIP projects on machine performance improvement , cost reduction, yield, quality, capacity and productivity improvements.
• Work with Process and NPI team onmachine and product related items.
• Machine/tooling buy-off and standardization.
• Follow up customer audit and action implementation
• Prepare 8D and presentation for QAF/RMA cases.
• Support other function teams for key projects.

Skills

Machine/ mechanical knowledge

Data analysis

QC tools

Communication skills

English proficiency

Education

Bachelor's degree in Electrical or Mechanical Engineering

Tools

PPT

Excel

JMP

AutoCAD

Job description

Sandisk Malaysia is seeking an Equipment Engineer to troubleshoot and maintain manufacturing lines. You will generate and update documentation (FMEA/SOP/WI), investigate line abnormalities and drive yield and productivity improvements with the NPI and Process teams.

The role requires a Bachelor's degree in Electrical or Mechanical Engineering and 3–5 years of related equipment engineering experience; strong data analysis, QC tools, and English communication are essential.