Product Development Engineer, Annapurna Labs Silicon Operations

Amazon • Austin, TX

23h

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 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 manufacturing process with foundry partners
to improve 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 cause. 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 process 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.

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 Haves

• 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.

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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level