CTO-track Founding Infrastructure Engineer, GPU Scheduling

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.