SuperblocksNew York, NYDesigns and operates large-scale infrastructure for secure, scalable AI agent runtimes, untrusted code execution, and multi-cloud deployments. Requires strong expertise in distributed systems, containers, Kubernetes, and security.
Right now we are looking for two main roles:
Base pay range: $175,000 – $275,000 per year.
Build and own the observability platform, control plane APIs, and fleet state management for a hyperscale GPU infrastructure powering AI compute at 10-100s of GW scale. Requires production service ownership at scale, comfort with AI coding tools, and on-call incident response.
Own end-to-end health, reliability, and automation for a massive GPU compute fleet at Fluidstack. Build metrics, repair pipelines, GPU qualification platforms, and low-level BMC/Redfish tooling while driving incidents and using AI coding tools daily. Hardware intuition and comfort with ambiguity required.
Own observability, API surface, and control plane for a hyperscale AI compute fleet. Build production-grade data pipelines, stateful APIs, and Kubernetes infrastructure that other teams depend on.
Own end-to-end health, repair automation, and qualification of a hyperscale GPU/TPU compute fleet. Build metrics pipelines, firmware tooling, and self-healing repair workflows across Kubernetes and bare metal.
Builds and scales core infrastructure including ML training/serving, Kubernetes clusters, and low-latency voice/audio pipelines. Requires 3+ years in infrastructure/ML systems, hands-on reliability engineering, and Kubernetes expertise.