Amazon Product Development Engineer Annapurna Labs Silicon Operations 

United States, Texas, Austin 

33871704

Our final product is a server, not just the silicon, so you will find yourself stretching beyond traditional silicon product engineering boundaries and dealing with various system issues and data sets, providing ample opportunities to learn.Key job 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.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceMentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in Electrical Engineering, Computer Engineering, or related technical field
- 5+ 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.