Amazon
Product Development Engineer, Annapurna Labs Silicon Operations
$154K–$215K
Austin, TX · Full-time · Posted Apr 23, 2026
- Experience
- 2+ years of semiconductor industry experience as a product/test engineer analyzing test data.
- Education
- Bachelor's degree in Electrical Engineering or a related field.
About the job
Optimizes yield, test coverage, and performance of machine-learning silicon by analyzing test and system data and coordinating corrective actions with manufacturing and engineering teams.
What you'll do
- Analyze ATE, SLT, and system-test data to improve yield, test time, and screening methods.
- Build and maintain yield-comparison automation, performance dashboards, and alert systems.
- Lead test-coverage improvements and collaborate across teams to resolve yield and quality issues.
What they ask for
- 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 optimizing yield and performance on advanced FINFET nodes; understanding of ATE test content and test-limit characterization.
- Experience with semiconductor test-data analysis and automation, dashboards, ATPG/scan diagnostics, SRAM bitmap analysis, or AWS services.
Pay
153,600.00 - 215,000.00 USD annually (base salary)
Tools
Python, JMP, Sagemaker, S3, Quicksight, ATPG
AI focus
The silicon supports machine-learning training and inference workloads; the role focuses on yield and performance engineering, not AI development.
Model-written summary · the original posting is authoritative