GlobalFoundries
PVD Process Technician
USA - New York - Malta, USA
Sponsorship not specified$43k-$71kDetected 28 days ago
ReactData AnalysisExcelCustomer SupportMicrosoft Office
About the role
- Summary of Role: This role is intended for our Malta site Fab 8, a 300mm leading edge semiconductor manufacturing facility.
- This is done in conjunction with the production and equipment personnel.
Responsibilities
- Develop, update operating procedures, support and engage in training activities
- Process Technicians monitor workstation performance, manage detrimental issues and/or deviated processes, and make incremental changes to influence the flow of in-progress product through their assigned areas.
Requirements
- Years of Experience: None Required
- Able to work in a cleanroom environment wearing required clean room clothing per semiconductor protocol/requirements
- High School Degree (or equivalent)
- (Employees must be able to perform these essential functions, with or without an accommodation):
- As a Process Technician, you are accountable for monitoring, sustaining, and improving the process workstation performance in your assigned area.
Nice to have
- 2+ years of relevant work experience:
- Semiconductor, manufacturing, or production industry experience.
- Data Analysis, Computer Information Systems.
- Relevant military experience.
- Customer service experience.
- Computer - computer sciences, technical, engineering, software knowledge.
- Microsoft Suite Applications (Excel, Outlook, Word, etc.)
- Relocation assistance offered to eligible candidates.
Skills
- For more information, visit www.gf.com.
Compensation
- Expected Salary Range
Benefits
- Actively participate in continuous improvement projects, learning and skills development
- Continuous use, learning of new software and factory system applications
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
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This listing is sourced directly from GlobalFoundries's careers page and normalized into a canonical job model.