Product Development Engineer, Annapurna Labs Silicon Operations

About the Position

AWS-Annapurna team develops the silicon used in our most advanced machine learning accelerator servers at cutting-edge process nodes. These SOCs are used in massively scaled server clusters to provide the best hardware platform for our customers to run training and inference workloads.

We are seeking an experienced Silicon Yield Product Engineer with expertise in yield debug on leading-edge process technology nodes. This experienced engineer will be responsible for optimizing the manufacturing process with foundry partners to improve the yield and performance of our machine learning chips. They will interact with ATE, Systems test teams, and Silicon design teams to identify systematic yield issues and work on debug to find root causes. This role involves collaborating with various teams to develop innovative solutions to optimize yield and performance for our products. Strong analytical and problem-solving skills, knowledge of semiconductor manufacturing processes, and expertise in statistical analysis are essential for success in this role.

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.

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

Nice to Have

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.

We Offer

Competitive salary range: 136,000.00 - 184,000.00 USD annually
Comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave
Opportunities for mentorship and career growth
Flexible work arrangements to support work-life balance

About the Company

At AWS, we value diverse experiences and encourage candidates to apply even if they do not meet all the qualifications. We strive for flexibility as part of our working culture and have a broad mix of experience levels and tenures. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. We offer ongoing events and learning experiences, including Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, to inspire us to embrace our uniqueness.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 Amazon's accommodations page for more information.