2 дня назад
Wafer Sustaining Engineer I - Early Career
66 000 - 79 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Wafer Sustaining Engineer I - Early Career (Wafer Manufacturing): Optimizing and maintaining thin-film wafer manufacturing processes through troubleshooting, SPC monitoring, data analytics, and automation with an accent on nanofabrication, measurement systems, yield, and quality. Focus on investigating scrap root causes, resolving factory issues, improving wafer build efficiency, and developing Power Automate, Python, and OCAP-based automation.
Location: Onsite at the Bloomington, MN campus in the United States. The role follows D Shift hours: Friday–Sunday and every other Thursday, 4:00 pm–4:00 am. Work may involve time in a Class 100 cleanroom.
Salary: $66,000–$79,000 base per year.
Company
develops precision-engineered digital storage solutions and operates recording head research, development, and manufacturing facilities.
What you will do
- Troubleshoot and evaluate suspect wafers and manufacturing processes.
- Investigate scrap root causes, monitor tools using SPC, and address factory inhibitors.
- Collaborate with technicians, engineers, maintenance, operations, and production teams to resolve product and factory issues.
- Maintain process documentation, passdowns, control management, and event management records.
- Use JMP, Excel, and Power BI for trending, data modeling, deviation identification, and dashboard deployment.
- Improve manufacturing and wafer build efficiency through process optimization, workflow automation, and support for R&D technology development.
Requirements
- Bachelor’s degree in Chemistry, Physics, Materials Science and Engineering, Chemical Engineering, or Electrical Engineering.
- Strong communication, teamwork, decision-making, and problem-solving skills.
- Basic computer and presentation skills.
- Ability to work onsite in Bloomington, Minnesota, on the designated overnight D Shift.
- Ability to work with nanofabrication equipment, measurement instrumentation, and cleanroom processes.
Nice to have
- Interest in Machine Learning, Generative AI, and Data Science.
- Experience or interest in Power Automate, Python, and OCAP-based automation.
Culture & Benefits
- Training during the first six months in process engineering, technician workflows, JMP, Microsoft Teams, Microsoft SharePoint, process tool operation, and wafer build.
- Opportunities to develop expertise across physics, chemistry, materials science, process engineering, equipment engineering, metrology, yield, and quality.
- Medical, dental, vision, life insurance, disability coverage, 401(k), employee stock purchase plan, HSA, dependent care, and healthcare spending accounts.
- Paid time off, 12 holidays, at least 48 hours of paid sick leave, and 16 weeks of paid parental leave.
- Onsite café, fitness center, wellness programs, meditation rooms, indoor walking path, cultural events, and community activities.
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