Manager, ASIC Sustaining Engineering, Silicon Operations
Amazon · Sunnyvale, CA · Project/Program/Product Management--Non-Tech
manager
software engineering
Engineering Manager
hybrid
· Posted May 15, 2026
$171,000 – $231,400
USD per year
Skills
About this role
Amazon is hiring a manager-level Engineering Manager in the software engineering function based in Sunnyvale, CA. The posting calls out experience with Data Analytics. Compensation is listed at $171,000–$231,400 per year.
- Role
- Engineering Manager
- Function
- software engineering
- Level
- manager
- Track
- hybrid
- Employment
- Full-time
- Location
- Sunnyvale, CA
- Department
- Project/Program/Product Management--Non-Tech
- Posted
- May 15, 2026
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Job description
from Amazon careersThe ASIC Sustaining Engineer has the responsibility for Yield improvement to meet or beat target and Root Cause Analysis for Yield excursions across Wafer, Assembly and Test.
Use statistical tools and data analysis to identify yield limiters and trends in electrical test and in-line inspection data.
Conduct failure analysis (FA) on defective wafers and devices to identify the source of, or prevent, yield excursions.
Design and execute experiments (DOE) to optimize manufacturing processes and reduce particle contamination.
Partner with process, equipment, and design engineers to implement solutions to improve, maintain, or troubleshoot production lines.
Install, qualify, and maintain in-line defect inspection and review equipment.
Create and maintain specifications, process documentation, and best-known methods
Key job responsibilities
Lead team to identify root cause for chip performance / yield / quality issues.
Analyze CP test bin / data log to identify failure mode.
Electrical failure analysis and physical failure analysis to locate suspect process stage
Work with appropriate supplier to define corrective actions / solutions.
Trace action implementation to verify effectiveness.
Product early-stage design support to help product tape-out smoothly and Si success:
Design rule review & assessment for robust product design
Layout review or DFM to enlarge manufacturing window
Yield window characterization and device sweet spot identification for the best yield / performance process condition.
Use statistical tools and data analysis to identify yield limiters and trends in electrical test and in-line inspection data.
Conduct failure analysis (FA) on defective wafers and devices to identify the source of, or prevent, yield excursions.
Design and execute experiments (DOE) to optimize manufacturing processes and reduce particle contamination.
Partner with process, equipment, and design engineers to implement solutions to improve, maintain, or troubleshoot production lines.
Install, qualify, and maintain in-line defect inspection and review equipment.
Create and maintain specifications, process documentation, and best-known methods
Key job responsibilities
Lead team to identify root cause for chip performance / yield / quality issues.
Analyze CP test bin / data log to identify failure mode.
Electrical failure analysis and physical failure analysis to locate suspect process stage
Work with appropriate supplier to define corrective actions / solutions.
Trace action implementation to verify effectiveness.
Product early-stage design support to help product tape-out smoothly and Si success:
Design rule review & assessment for robust product design
Layout review or DFM to enlarge manufacturing window
Yield window characterization and device sweet spot identification for the best yield / performance process condition.
Basic Qualifications
This is an excerpt. Read the full job description on Amazon careers →