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About the Role
The AWS-Annapurna team develops advanced machine learning accelerator silicon. This role focuses on optimizing manufacturing processes with foundry partners to improve yield and performance of these chips, interacting with various teams to identify and resolve systematic yield issues.
Responsibilities
- Perform detailed data analysis of ATE Test, SLT test, and System test data to optimize yield, test time, and implement optimal screening methodologies across platforms.
- Develop and maintain automation systems to compare yields across OSATs, testers, and setups, while monitoring performance metrics to drive timely corrective actions.
- Lead functional and structural test coverage improvements at ATE and system levels through strategic DOE planning and targeted characterization efforts to collect critical performance data.
- Design and maintain comprehensive dashboards enabling cross-functional teams to monitor key metrics, with automated alert systems for rapid issue identification and resolution.
- Foster strong stakeholder relationships and drive corrective actions for yield and quality improvements through effective collaboration with test engineering, system validation, and DFT teams.
Requirements
- Bachelor's degree in Electrical Engineering or a related field
- 2+ years of semiconductor industry experience as a product/test engineer analyzing test data
- Experience using Python or other scripting languages for data analysis and automation
- Strong analytical and problem-solving skills
- Experience with yield and performance optimization at system or ATE test on advanced FINFET nodes
- Understanding of ATE test content (Scan, BIST, Functional, IO tests) and experience setting test limits based on characterization.
- Experience with power, performance characterization on high performance chips.
- Knowledge of usage of ATPG scan diagnostics and SRAM bitmap analysis for FA and yield debug.
- Proficiency in statistical analysis tools (JMP, Python) and automation for semiconductor test data.
- Experience building automated analysis systems and interactive dashboards for yield and quality monitoring.
- Familiarity with AWS services (Sagemaker, S3, Quicksight etc.) and ability to use these for automation.
Skills
- Python
- Statistical analysis
- Data analysis
- Automation
- Yield debug
- Semiconductor manufacturing process
- ATE Test
- SLT Test
- System Test
- DOE planning
- Characterization
- AWS services
Location
- USA, TX, Austin
Work Type
- Full-time
Experience Level
- 2+ years
- Experienced
Education Level
- Bachelor's degree
Salary/Compensations
- 153,600.00 - 215,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
About the Company
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.