Senior Reliability Engineer – CMOS NTI/NPI Leader
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Job summary
Samsung Austin Semiconductor is seeking a staff-level reliability engineer to drive reliability engineering for NTI/NPI and mass production of advanced CMOS nodes. You will collaborate with internal teams, Korea HQ, customers, and Fab to ensure seamless transition from NTI/NPI to production.
You will lead reliability improvements, design experiments, apply statistical methods, and publish findings at conferences.
Qualifications
- MS or PhD in Engineering or Physics; Electrical/Materials Engineering preferred.
- 5+ years of related experience in semiconductor process, product or device engineering.
- Strong understanding of semiconductor device physics or reliability degradation mechanisms (TDDB, HCI, BTI, EM, SM, TC).
Responsibilities
- Provide technical leadership to direct a team for reliability improvement activities.
- Identify, plan, and execute reliability evaluations for NTI/NPI, technology qualification, process changes and abnormal events.
- Identify items affecting product reliability and drive improvement actions with both local and overseas operations.
- Manage solutions to integration problems across Fab, PIE, Device, Product Test and other groups.
- Design, execute, and analyze designed experiments to improve semiconductor fabrication processes.
- Utilize lessons learned to improve reliability margin; define new process integration for new technology nodes.
- Use statistical tools and reliability models to extract lifetime from time-to-fail data.
- Represent Samsung technology leadership by authoring papers for symposiums and journals; participate in external conferences.
Skills
Education
Tools
Job description
Samsung Austin Semiconductor is seeking a staff-level reliability engineer to drive reliability engineering for NTI/NPI and mass production of advanced CMOS nodes. You will collaborate with internal teams, Korea HQ, customers, and Fab to ensure seamless transition from NTI/NPI to production.
You will lead reliability improvements, design experiments, apply statistical methods, and publish findings at conferences.
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