Principal ML & Silicon Yield Engineer

Broadcom, Inc.; Chandler (AZ); On-site; USD 110,000 - 176,000; Full time

Benefits offered by this job

Medical plans

Dental & Vision

401(k) matching

ESPP

Employee Assistance Program

Job summary

Broadcom, Inc. seeks a Principal Machine Learning & Silicon Yield Engineer to drive predictive yield and performance optimization for SoC platforms. You will design ML/DL/GenAI solutions that translate wafer data into actionable yield improvements and PPA strategies.

You will work with cross-functional teams, organize large telemetry datasets, and apply advanced analytics and circuit telemetry to isolate failure mechanisms and optimize manufacturing outcomes. PhD or MS with experience preferred.

Qualifications

• MS with 6+ years experience or PhD with 3+ years in Electrical Engineering, Computer Science or related field.
• Top-tier semiconductor research institutions preferred.
• Proven silicon telemetry and yield analysis experience.
• Deep analytics using ML/AI on physical hardware datasets.
• Strong programming in Python, R, or C++ and handling large databases.
• Knowledge of semiconductor manufacturing, DFM/EDA tools, and wafer fabrication.

Responsibilities

• Design, build, and deploy ML/DL/GenAI models to predict wafer-level yield.
• Organize, clean, and analyze large telemetry datasets from multiple sources.

Skills

ML/AI modeling

Python

R

C++

Big data analytics

Education

MS + 6 years experience

PhD + 3 years experience

Tools

Cadence Virtuoso

Primetime STA tools

Spice modeling tools

Job description

Broadcom, Inc. seeks a Principal Machine Learning & Silicon Yield Engineer to drive predictive yield and performance optimization for SoC platforms. You will design ML/DL/GenAI solutions that translate wafer data into actionable yield improvements and PPA strategies.

You will work with cross-functional teams, organize large telemetry datasets, and apply advanced analytics and circuit telemetry to isolate failure mechanisms and optimize manufacturing outcomes. PhD or MS with experience preferred.