Beam

Site Reliability Engineer

Beam San Francisco, CA

Beam provided pay range

This range is provided by Beam. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $200,000.00/yr
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
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Data Infrastructure and Analytics

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