Principal ML & Silicon Yield Engineer (Equity Eligible)

Broadcom; Chandler (AZ); Presencial; USD 110.000 - 176.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary annual bonus

Equity grants

401K with company match

Employee Stock Purchase Program (ESPP)

Health/dental/vision insurance

Paid time off

Descripción de la vacante

Broadcom is seeking a Principal Machine Learning & Silicon Yield Engineer in Chandler, AZ to predict wafer-level yield and optimize PPA from SoC telemetry and ATE test data. You will design ML, DL, and GenAI tools to translate silicon data into actionable yield and performance improvements.

Responsibilities include building predictive yield models, organizing multi-source telemetry data, interpreting circuit telemetry, and collaborating with foundry, DFM, and DFT teams to scale production.

Formación

• Experience predicting wafer-level yield from multi-source telemetry.
• Strong knowledge of STA and silicon telemetry.
• Proven ability to develop data-driven optimization for PPA.
• Programming skills to handle large databases.

Responsabilidades

• Predictive yield modeling from large-scale telemetry data.
• Organize, clean, and analyze sensor databases.
• Interpret parametric data and on-chip sensor readouts.
• Collaborate with foundry, DFM, and DFT teams.
• Develop data workflows and scalable production release.
• Experience with spice modeling tools and Cadence Virtuoso.

Conocimientos

Python

R

C++

ML/AI techniques

Anomaly detection

Multivariate regression

Educación

MS + 6 years experience

PhD + 3 years experience

Herramientas

Cadence Virtuoso

Primetime STA

Spice modeling tools

Big data analysis

Descripción del empleo

Broadcom is seeking a Principal Machine Learning & Silicon Yield Engineer in Chandler, AZ to predict wafer-level yield and optimize PPA from SoC telemetry and ATE test data. You will design ML, DL, and GenAI tools to translate silicon data into actionable yield and performance improvements.

Responsibilities include building predictive yield models, organizing multi-source telemetry data, interpreting circuit telemetry, and collaborating with foundry, DFM, and DFT teams to scale production.