Forward Deployed Engineer - LLM Systems

About the role

You will be a key builder behind the world's first on-prem LLM system for atoms, deploying inference and reinforcement learning systems directly into semiconductor fabs where the science happens. The role splits roughly 80% LLM system development and deployment, and 20% semiconductor customer interaction - translating fab requirements into engineering specs and ensuring our systems meet the realities of production. You will move fluidly between improving LLM systems, managing Kubernetes clusters, and interacting with semiconductor experts - owning deployments end-to-end and serving as the technical face of our system to vendor partners. You will also work closely with LLM systems and modeling experts from OpenAI, Anthorpic, xAI, Google, and other frontier labs.