About the role
Staff SRE, AI Infrastructure Location: North America Remote / San Francisco · Full-Time About Andromeda Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it's needed most. Our aim is to become a liquidity layer for global AI compute — routing workloads across providers, GPU generations, and geographies the way financial markets route capital. We're a small, senior team where one engineer's judgment shapes every customer's experience. You'll join early enough to define how we run infrastructure at scale, work directly with the world's most demanding AI customers, and build a career operating at the frontier of what compute can do.
The Role We're hiring a Staff SRE to own the reliability of Andromeda's infrastructure end to end — from a node being racked and joined to a cluster, through the schedulers and control planes that place jobs on it, up to the customer-facing surface where a training run either succeeds or doesn't. We're looking for someone with multiple years of hands-on experience operating GPU infrastructure at scale. You read NVIDIA release notes the day they drop. You have war stories about NCCL, fabric topology choices, and what it takes to keep a multi-thousand-GPU run healthy. You move comfortably from a kernel-level perf trace to a customer incident bridge in the same hour, and you write the postmortem yourself.
What You'll Own Highest-Priority Incident Leadership: Carry the pager. When a top-customer training run degrades or a multi-cluster incident hits, you're the engineer who walks the stack from PyTorch → NCCL → driver → fabric → hardware until the answer is found. You lead the response, write the postmortem, and ship the systemic fix. Production Operations of GPU Fleets: Own the day-to-day health of thousands of GPUs across providers and generations. Node lifecycle, burn-in, validation, draining, repair workflows, firmware rollouts, driver upgrades — the unglamorous work that decides whether the platform actually holds up. Observability & Health Systems: Build and own the telemetry, GPU health checks, fabric monitoring, and automated remediation that let us catch a degraded NVLink or a flaky transceiver before a customer does. Tooling lives on your laptop; you ship it. On-Call Practice: Define how on-call works at Andromeda — rotations, escalation, runbooks, incident command, blameless review. As