Amazon · 15 hours ago
Product Development Engineer, Annapurna Labs Silicon Operations
Austin, Texas, USA
Full-time
Onsite
Entry, Mid Level
$136K/yr - $184K/yr
2+ years expAmazon is a leading cloud platform provider, and they are seeking an experienced Silicon Yield Product Engineer for their Annapurna Labs team. This role focuses on optimizing manufacturing processes for machine learning chips and collaborating with multiple teams to improve yield and performance.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
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
Qualification
Required
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
Preferred
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
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
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
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reference. (Data Powered by US Department of Labor)
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-02-12
2026-02-12
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