Natilah is building AI optimization layers for GPU infrastructure. Help GPU clusters improve utilization, queue times, scheduling efficiency, and infrastructure performance, starting with safe read-only shadow testing.

Looking for a CTO-track Founding Infrastructure Engineer with strong experience in Kubernetes, GPU scheduling, distributed systems, DevOps, or AI infrastructure.

This is an early-stage, founder-level role for someone comfortable with ambiguity, ownership, fast iteration, and the reality of building a company before everything is fully defined. We are looking for someone who wants to help turn an MVP into a serious AI infrastructure company, not someone looking for a standard corporate role.

This is not a generic full-stack role. The ideal person has worked with Kubernetes internals, schedulers, controllers, operators, CRDs, RBAC, GPU clusters, NVIDIA GPU Operator, Slurm, Ray, Kueue, Volcano, Run:ai-like systems, or production AI infrastructure.