Infrastructure AI/ML Engineer for Memory Design, Characterization, and Yield Optimization
Broadcom, USA-TX-Austin - River Place B7 +3
The role
Infrastructure AI/ML Engineer for Memory Design, Characterization,
What you will do
- Conceptualize, architect, deploy, and scale robust, distributed multi-agent AI frameworks tailored to transform intricate memory design workflows optimized for performance, power, area, and yield
- Orchestrate long-horizon, autonomous agent executions capable of managing multi-step reasoning, task decomposition, and decision-making across all phases of memory design development, silicon bring-up, and yield analysis
- Seamlessly integrate Large Language Model (LLM)-driven agent pipelines with core Electronic Design Automation (EDA) suites, custom in-house software tools, and enterprise data repositories.
- AI-Driven Debug: 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.