Semiconductor Quality & Operations Lead

Applied Materials, Inc.

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+

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Job summary

Applied Materials, Inc. in Singapore seeks a seasoned Quality Engineer to drive quality across the product lifecycle for semiconductor equipment. You will apply advanced quality methods, lead investigations, and collaborate with design, manufacturing and suppliers to prevent defects.

The role emphasizes 8D/SCAR root cause analysis, PFMEA, PPAP, and continuous improvement. Strong Excel and Power BI skills, plus a Bachelor’s in engineering and 5–8 years of experience are required.

Qualifications

  • Bachelor’s Degree – Mechanical/Electrical Engineering, Computer Science or related Engineering Technology.
  • Advanced Quality Certifications with 5–8 years of quality experience in general industrial equipment/semi equipment.
  • Proven Six Sigma/7 QC tools knowledge with FMEA, DMAIC and related methods.
  • Proficient in Excel (Pivot, VLOOKUP) and Power BI for data analysis.

Responsibilities

  • Develops and applies quality standards per company and customer requirements.
  • Conducts tests to verify and improve product quality.
  • Gathers and analyzes operational data to drive improvements.
  • Prepares documentation for inspection/testing procedures.
  • Recommends corrective actions for deficiencies and non-conformances.
  • Lead or participate in audits and continuous improvement activities.

Skills

Quality engineering
Problem solving
Data analysis
Communication skills

Education

Bachelor’s degree in Mechanical/Electrical Engineering or related field

Tools

Excel
Power BI

Job description

Applied Materials, Inc. in Singapore seeks a seasoned Quality Engineer to drive quality across the product lifecycle for semiconductor equipment. You will apply advanced quality methods, lead investigations, and collaborate with design, manufacturing and suppliers to prevent defects.

The role emphasizes 8D/SCAR root cause analysis, PFMEA, PPAP, and continuous improvement. Strong Excel and Power BI skills, plus a Bachelor’s in engineering and 5–8 years of experience are required.

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