Silicon Yield Engineer: Data-Driven Optimization of ML Chips

Amazon Web Services (AWS); Austin (TX); On-site; USD 136,000 - 184,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Austin, TX is seeking an experienced Silicon Yield Product Engineer to optimize manufacturing yield for cutting-edge ML accelerators.

You will analyze ATE, SLT, and system data, drive DOE plans, and develop automation to compare yields across OSATs and test setups, enabling rapid corrective actions. The role requires 2+ years in semiconductor yield analysis, Python scripting, and strong problem-solving.

Qualifications

• Bachelor's degree in Electrical Engineering or a related field required.
• 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.

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

Skills

Bachelor's degree in Electrical Eng

2+ years semiconductor industry data

Python scripting for data analysis

Analytical and problem-solving

Education

Bachelor's degree in Electrical Engineering or a related field

Tools

JMP

Job description

Annapurna Labs (U.S.) Inc. in Austin, TX is seeking an experienced Silicon Yield Product Engineer to optimize manufacturing yield for cutting-edge ML accelerators.

You will analyze ATE, SLT, and system data, drive DOE plans, and develop automation to compare yields across OSATs and test setups, enabling rapid corrective actions. The role requires 2+ years in semiconductor yield analysis, Python scripting, and strong problem-solving.