Quality Engineer Intern - Drive Process Excellence & RCA

I00024 GE Vernova Singapore Services Pte. Ltd.

Singapore

On-site

SGD 13,000 - 20,000

Full time

3 days ago
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Job summary

GE Vernova Singapore Services Pte. Ltd. invites engineering students to join as a Quality Engineer Intern.

You will work on real projects, apply problem-solving tools like Root Cause Analysis and Lean Six Sigma, and collaborate with our global team to drive improvements. This internship offers hands-on experience in QA and quality improvement, data analysis, Kaizen concepts, and exposure to power generation service processes and non-destructive testing practices, all within a supportive learning

Qualifications

  • Currently pursuing an Engineering degree.
  • Comfortable using MS Office applications.
  • Open-minded, inclusive, and ready to bring fresh ideas and courage to improve.
  • Strong communication skills.

Responsibilities

  • Support the Quality team in QA and quality improvement initiatives.
  • Lead or co-lead process improvement projects for operational excellence.
  • Learn RCA and problem-solving tools by conducting RCAs and audits.
  • Assist in creating product qualification packages and drafting work instructions.
  • Gain hands-on experience with Kaizen and Lean Six Sigma methodologies.
  • Collect and analyze data to drive data-driven insights.
  • Propose and help implement Kaizen ideas as part of a team.
  • Gain exposure to power generation service and refurbishment processes.
  • Explore metallurgical labs, NDT methods, calibration programs, and inspection technologies.

Skills

Strong communication skills
MS Office

Education

Engineering degree in progress

Tools

MS Office

Job description

GE Vernova Singapore Services Pte. Ltd. invites engineering students to join as a Quality Engineer Intern.

You will work on real projects, apply problem-solving tools like Root Cause Analysis and Lean Six Sigma, and collaborate with our global team to drive improvements. This internship offers hands-on experience in QA and quality improvement, data analysis, Kaizen concepts, and exposure to power generation service processes and non-destructive testing practices, all within a supportive learning

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