Informacje o stanowisku

Come join Amazon Devices and work within Amazon Lab126 where top engineers, researchers and scientists invent, design and build Amazons new consumer electronics devices and services. Amazon Lab126 has produced the best-selling Kindle devices, the groundbreaking Fire tablets and Fire TV and the revolutionary Echo.



We are seeking an experienced Product Development Engineer with expertise in product test data analysis and automation. This experienced product engineer is expected to drive continuous improvement in product definition and demonstrate strong analytical and problem solving skills to conduct in-depth investigation of issues relating to quality, reliability and production fleet observations using their data analysis expertise.



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

1. Product Engineering:
   1. 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.
   2. 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.
   3. Drive functional and structural test coverage improvement at ATE and system by defining DOEs and characterization efforts needed to collect necessary data.
   4. Build and own dashboards to help cross-functional teams review key metrics and create automation to generate alerts for various issues.
   5. Maintain excellent communication with different stakeholders - test engineering team, system validation team, HW engineering team, Design team etc.
2. SoC Materials Management:
   1. Manage procurement, inventory, and logistics for materials such as silicon wafers, substrates, and packages to support SoC development.
   2. Collaborate with OSAT suppliers to secure capacity, monitor delivery performance, and resolve material-related issues.

BASIC QUALIFICATIONS

1. Bachelors degree in Electrical or Computer Engineering.
2. 10+ years of industry experience in the following:
1. Using Python for data analysis and automation.
2. Semiconductor test insertions/flows and CMOS fabrication process.
3. Statistical tools like correlation, predictive modeling, sample testing.
4. SQL for data extraction from databases.

PREFERRED QUALIFICATIONS

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

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 for more information.

Posted: December 28, 2024 (Updated 2 days ago)

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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