Quality Engineering Intern — Data-Driven, Hybrid Role

Lam Research

Penang

Hybrid

MYR 11,000 - 17,000

Full time

4 days ago
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Job summary

Lam Research in Malaysia (Penang) offers an internship in the Quality Department focused on supporting audits, data analysis, and quality initiatives across manufacturing and business operations. You will work with Quality Engineers to analyze performance and contribute to continuous improvement projects.

The role emphasizes practical data-driven quality activities, collaboration with engineers, and exposure to hybrid on-site and remote work arrangements within a world-class manufacturing

Qualifications

  • Degree in science or engineering or equivalent.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication.
  • Ability to work in a cleanroom environment with PPE and cleanroom suit.
  • Proficient with Microsoft Office (Excel, Word, PowerPoint).
  • Familiar with AI tools.
  • Minimum 6 months internship period.

Responsibilities

  • Partner with Quality Engineers to perform product audits.
  • Support Quality Engineers to compile and report quality performance.
  • Perform data analysis to identify trends and opportunities to improve quality performance.
  • Partner with Quality Engineers to drive quality improvement programs.
  • Communicate regularly with manager to track project status and identify potential issues.
  • Assist Quality Engineers in quality investigations.

Skills

Analytical
Problem solving
Communication
Interpersonal skills
AI tools
Microsoft Excel
Microsoft Word
PowerPoint

Education

Science/Engineering degree or equivalent

Tools

Microsoft Word
Microsoft Excel
PowerPoint

Job description

Lam Research in Malaysia (Penang) offers an internship in the Quality Department focused on supporting audits, data analysis, and quality initiatives across manufacturing and business operations. You will work with Quality Engineers to analyze performance and contribute to continuous improvement projects.

The role emphasizes practical data-driven quality activities, collaboration with engineers, and exposure to hybrid on-site and remote work arrangements within a world-class manufacturing

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