10 дней назад
Data Science / Structured Problem Solving Intern (Semiconductors)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Science / Structured Problem Solving Intern (Semiconductors): Developing data-driven continuous improvement solutions for high-volume semiconductor wafer manufacturing with an accent on quality engineering, Six Sigma problem solving, and machine learning. Focus on researching, analyzing, and presenting a high-business-impact project while establishing metrics and standardizing improvements across manufacturing sites.
Location: Austin, United States — Ed Bluestein office
Company
develops semiconductor technologies and operates high-volume wafer manufacturing environments.
What you will do
- Partner with Manufacturing Quality Engineering, Fab Operations, business lines, and support organizations on continuous improvement solutions.
- Work on engineering and analytical problem-solving projects in a high-volume semiconductor wafer manufacturing environment.
- Apply a Six Sigma structured problem-solving approach to optimize quality solutions.
- Participate in fab-to-fab standardization activities and improvements involving local external manufacturing sites.
- Contribute to machine learning and AI projects related to quality improvements.
- Own the research, analysis, and presentation of one high-business-impact project to organizational leadership.
Requirements
- Currently pursuing a bachelor's or advanced degree in engineering, physics, applied mathematics, or computer science.
- Must be returning to school or graduating at the conclusion of the summer internship; candidates graduating before July 2027 should apply to entry-level full-time roles.
- Strong data analysis, teamwork, and communication skills.
- Strong programming skills in R or Python are desired.
- Coursework in advanced statistics and data science is desired.
- Ability to learn new skills and thrive in a multicultural environment.
Nice to have
- Familiarity with integrated circuit manufacturing or design.
- Familiarity with Microsoft Office products, including PowerPoint, Excel, and Word.
Culture & Benefits
- Work alongside multidisciplinary engineering, operations, and business organizations.
- Gain experience in semiconductor manufacturing, quality improvement, data analysis, machine learning, and AI.
- Participate in standardization initiatives involving multiple manufacturing sites.
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