Site Reliability Engineer
Hybrid (New York City, NY / San Francisco, CA / Remote (US))$140k - $200k + equityFull-timePosted 3mo ago
About the role
Beam is seeking a Site Reliability Engineer to own compute fleet health, automate deployment debugging, design the GPU qualification platform, and handle firmware-level telemetry and low-level repair tooling for a cloud AI inference platform.
Responsibilities
- 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.
Qualifications
- 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
Skills
Required:Hardware intuition
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
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Beam
AI-Native Cloud Platform
Beam is cloud platform for AI inference, sandboxes, and agents.
artificial-intelligencedeveloper-toolsopen-sourcecloud-computing
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