**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.
# **About the Role**
* 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.
# Skills & Experience
* 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
# Benefits
* 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
Visa sponsorship is not available for this role.
