Global Training Engineer Intern

Intel

Ho_Chi_Minh_City, Vietnam
Onsite (3-4 days per week)
3rd year bachelor's degree student
Proficient english verbal and written communication
Onsite work 3-4 days per week
Intel is seeking a Global Training Engineer Intern in Ho Chi Minh City, Vietnam, to develop and deliver technical training programs for manufacturing readiness. The ideal candidate will be a third-year student in a relevant technical field with strong communication and problem-solving skills

Job Summary

  • The role combines engineering knowledge with learning and development expertise to support factory startup, ramp, and continuous improvement through effective technical training solutions.
  • Candidates will partner with Subject Matter Experts to ensure technical accuracy, standardization, and compliance of training content for manufacturing teams.
  • This position requires managing the Learning Management System (LMS) and measuring training effectiveness using defined metrics to drive continuous improvement.

Matching Summary

Match Score: 75

Intel is seeking a Global Training Engineer Intern in Ho Chi Minh City, Vietnam, to develop and deliver technical training programs for manufacturing readiness. The ideal candidate will be a third-year student in a relevant technical field with strong communication and problem-solving skills.

Skills & Requirements

Must-have

  • 3rd year Bachelor's degree student
  • Proficient English verbal and written communication
  • Onsite work 3-4 days per week
  • 12-month internship program enrollment
  • Statistical data analysis techniques familiarity

Nice-to-have

  • Adult Learning and ISD knowledge
  • Automation and AI skills
  • Excellent facilitation across diverse audiences
  • Change management initiative support
  • Power BI and MS Office 365 proficiency

Key Requirements

  • Pursuing Bachelor's in Industrial Engineering or related major
  • Enrollment in a 12-month internship program
  • Ability to work onsite 3-4 days weekly
  • Familiarity with statistical data analysis techniques

Work Rights

Not specified

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