The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

Design, engineer, and research agentic systems to bridge LLM agent research with engineering for chip design workflows, collaborating with various teams and evaluating performance metrics.