Software Engineer, GPU Infrastructure

Role description

Role Overview

We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

What You Will Do

Own compute fleet health end to end. Build the metrics pipelines, alerting, and unified health view that tell you the true state of every GPU in production — across Kubernetes-orchestrated workloads and bare metal, at scale. Turn deployment/repair into a pipeline, not a procedure. Build and own the automation that takes a compute failure from detection through triage, parts management, and return to service.

Why It Might Be a Fit

You treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description. You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.

Requirements

• Treat toil as a bug
• Have an instinct for hardware
• Reason about failure modes at the firmware and silicon level
• Learn at a steep slope
• Reach real competence in an unfamiliar domain fast
• Carry a pager without flinching
• Be fluent with AI tooling
• Have shipped production automation that other teams depend on

Benefits

• Competitive total compensation package (salary + equity)
• Retirement or pension plan
• Health, dental, and vision insurance
• Generous PTO policy