Beam

Site Reliability Engineer

New

140000 –200000 USD / yearUSARemotegpufirmwareautomationmetricstelemetrylog collection

Responsible for owning and automating compute fleet health, metrics, alerting, and GPU qualification at an AI inference platform.

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.
Turn deployment debugging into an automated pipeline, not a runbook. Build and own the automation that takes a compute failure from detection through triage.
Design the GPU qualification platform. Burn-in, performance baselining, and NPI execution for every new GPU we onboard to our platform. You define what "good" looks like before hardware goes into production.
Own firmware-level telemetry, log collection at scale, and the low-level access layer that repair automation and health tooling depend on.

Competitive salary and meaningful equity
Join a fast-growing pre-series A company at the ground floor
Health, dental, and vision benefits with 90% coverage for you and 50% for dependents
Opportunities to participate in events across the cloud native community
Fitness stipend, learning budget, and much, much more

Beam is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.
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
You're fluent with AI tooling. You aren’t afraid to max-out your token usage for the right spec.
You’re comfortable debugging production issues, from triage to post-mortem.
Enthusiasm for developer tools, cloud native technologies, and open source software