Applied Researcher I at Capital One driving AI innovations for banking. Collaborating with cross - functional teams to develop AI - powered products and enhance customer experiences.
About the role
- Silicon Debug & Yield Engineer at Broadcom leveraging AI/ML to enhance semiconductor yield insights. Focusing on data analysis, model deployment, and collaboration with cross-functional teams.
Responsibilities
- Develop and deploy ML models to automate the classification of scan failures (Chain, Stuck-at, Transition) and correlate them with design-for-test (DFT) structures
- Integrate high-dimensional data—including Fab process parameters, PCM (Process Control Monitoring), and E-test data—to predict yield excursions before they hit the assembly line
- Analyze the interplay between design marginalities, voltage scaling, and manufacturing variations
- Evaluate and implement cutting-edge AI-based EDA tools for root-cause analysis and systematic defect identification
- Act as the "translator" between the Fab, Design, and Test teams, using data to prove where the silicon is diverging from the simulation
Requirements
- Bachelor's degree plus 8+ years of related experience OR Master's degree plus 6+ years of related experience
- 3+ years in Silicon Debug, DFT, or Yield Engineering
- Knowledge of Deep Sub-micron (FinFET) effects, including IR drop, crosstalk, and process variation
- Experience with Pattern Recognition, Clustering (for defect binning), and Regression models
- Expertise in Python, SQL, and big data environments (Spark, Snowflake, etc.)
- Familiarity with industry-standard yield management systems (e.g., PDF Solutions, Synopsys YieldExplorer, or Cadence Clarity)
Benefits
- Medical, dental and vision plans
- 401(K) participation including company matching
- Employee Stock Purchase Program (ESPP)
- Employee Assistance Program (EAP)
- company paid holidays
- paid sick leave and vacation time
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