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Advanced Energy is seeking a motivated Quality Intern to support the Quality Engineering team in data analytics, yield improvement, and quality system support. The role involves collecting and analyzing production data, identifying trends, and preparing quality reports to support continuous improvement in a high-tech manufacturing environment.
The intern will assist in daily defect monitoring, data validation from inspection trackers, and maintenance of master trackers.
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Advanced Energy Industries, Inc. (NYSE: AEIS), headquarteredin Fort Collins, Colorado, USA, enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide.
Job Summary:
Advanced Energy is seeking a motivated and detail-oriented Quality Intern to support the Quality Engineering team. The intern will assist in activities related to yield improvement, data analytics, and quality system support. This role involves collecting and analyzing production data, identifying trends, preparing quality reports, and supporting continuous improvement initiatives. The internship provides hands‑on exposure to quality processes in a high‑tech manufacturing environment, allowing the intern to develop practical skills in data analysis, problem‑solving, and cross‑functional collaboration.
Job Description :
Daily:
Requirement :
Basic knowledge of data analytics techniques
Proficiency in Excel; familiarity with data tools is advantage
Strong analytical thinking and attention to detail.
Ability to interpret technical data and present findings clearly.
Good communication and teamwork skills.
Interest in semiconductor, manufacturing, quality, or engineering environments.
Education:
Bachelor’s Degree in Engineering Technology, Mechanical Engineering, Data Analytics / Data Science /Computer Science / Data Analytic/ E&E?