Silicon Yield Engineer - Data-Driven Debug & DOE

Annapurna Labs; Austin (TX); On-site; USD 154,000 - 215,000; Full time

Job summary

Annapurna Labs is seeking a Silicon Yield Product Engineer to optimize manufacturing yield for cutting-edge ML silicon. You will analyze test data, drive yield improvements, and collaborate with ATE, systems test and design teams to resolve root causes.

You will develop automated screening, dashboards, and DOE plans to monitor yield and performance across platforms, contributing to best-in-class hardware for cloud-scale workloads.

Qualifications

• Bachelor's degree in Electrical Engineering or related field required.
• 2+ years in semiconductor industry as a product/test engineer analyzing test data.
• Experience with Python or other scripting languages for data analysis and automation.

Responsibilities

• Analyze ATE Test, SLT, and System test data to optimize yield and screening.
• Develop automation to compare yields across OSATs, testers and setups.
• Improve test coverage at ATE and system levels via DOE plans and characterization.
• Build dashboards with alerts for cross-functional teams tracking yield metrics.
• Collaborate with test, system validation and DFT teams to drive yield actions.

Skills

Python

Data analysis

Scripting

Education

Bachelor's degree in Electrical Engineering or related field

Job description

Annapurna Labs is seeking a Silicon Yield Product Engineer to optimize manufacturing yield for cutting-edge ML silicon. You will analyze test data, drive yield improvements, and collaborate with ATE, systems test and design teams to resolve root causes.

You will develop automated screening, dashboards, and DOE plans to monitor yield and performance across platforms, contributing to best-in-class hardware for cloud-scale workloads.