Product Development Engineer, Annapurna Labs Silicon Operations
Core
Optimizing manufacturing process with foundry partners to improve yield and performance of machine learning chips by analyzing test data and developing automation systems.
Role type
Senior IC silicon yield product engineer
Builds
Machine learning accelerator server chips (SOCs)
Domain
Semiconductor manufacturing / Machine Learning Hardware
Deliverable
production ML models
Required skills
Semiconductor manufacturing process knowledge, Statistical analysis, Python scripting, Data analysis, Root cause analysis, DOE planning, Test coverage improvement, Dashboard design
Preferred skills
Yield optimization at advanced FINFET nodes, ATE test content knowledge (Scan, BIST, Functional, IO), Power/performance characterization, ATPG scan diagnostics, SRAM bitmap analysis, AWS services (Sagemaker, S3, Quicksight)
Technologies
Python, JMP, ATE, AWS (Sagemaker, S3, Quicksight)
Responsibilities
Perform detailed data analysis of ATE, SLT, and System test data to optimize yield and test time; Develop and maintain automation systems to compare yields across OSATs and testers; Lead functional and structural test coverage improvements through strategic DOE planning; Design and maintain comprehensive dashboards for cross-functional teams; Drive corrective actions for yield and quality improvements through collaboration with test engineering and DFT teams
Seniority
Senior, hands-on IC