Amazon Post Silicon Product Engineer 

Taiwan, Taipei, Taipei 

558885878

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 system architecture.You’ll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have extremely high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our products' performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.Key job responsibilities
Product Engineering:
- Detailed data analysis of ATE Test, SLT test and System test data to drive corrective actions, best known screening methods and provide insight in debug.
- End-to-end automation of data analysis and correlation all the way from WAT, wafer sort, package test and system test to drive yield and test coverage improvements.
- Drive functional and structural test coverage improvement at ATE and system by defining DOEs and characterization efforts needed to collect necessary data.SoC Materials Management:
- Manage procurement, inventory, and logistics for materials such as silicon wafers, substrates, and packages to support SoC development.

- Bachelors degree in Electrical or Computer Engineering.
- 10+ years of industry experience in the following
- Using Python for data analysis and automation.
- Semiconductor test insertions/flows and CMOS fabrication process.
- Statistical tools like correlation, predictive modeling, sample testing.
- SQL for data extraction from data bases.

- Experience using yield analysis tools like JMP, Yield explorer and creating dashboards in Quicksight, PowerBI or Tableau.
- Experience driving failure analysis/isolation and debug for speed-path issues and defects.
- Experience defining characterization needs for improving test coverage and quality
- Experience using AWS tools - Lambda functions, sagemaker, QuickSight for data analysis and automation.