Amazon Web Services (AWS) · 6 hours ago
Product Development Engineer, Annapurna Labs Silicon Operations
Austin, TX
Full-time
Onsite
Entry, Mid Level
$136K/yr - $184K/yr
2+ years expAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and they are seeking an experienced Silicon Yield Product Engineer to optimize manufacturing processes for machine learning chips. The role involves collaborating with various teams to analyze test data, improve yield and performance, and develop innovative solutions for silicon products.
Artificial Intelligence (AI)Cloud ComputingConsultingSoftwareInformation TechnologyAgentic AIDevOpsWeb Development
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 Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Please note that this does not
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
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