Material Group

Own and build the control plane and APIs for an accelerator cloud, managing the lifecycle from rack bring-up to node retirement. Drive reliability and observability while operating the scheduling layer for training and inference workloads.

Design and architect network fabrics and rack layouts to power large-scale AI training and inference. Drive performance benchmarking, telemetry observability, and incident response for thousands of compute nodes.

Lead end-to-end program management for AI Factories, overseeing the transition from initial setup to steady-state operations. Coordinate across architectural and technology disciplines to manage schedules, governance, and vendor relationships.