Site Reliability Engineer

Beam; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Health, dental, vision benefits

Fitness stipend

Learning budget

Events in cloud native community

Job summary

Beam is seeking a role-focused engineer to own the health and reliability of our GPU compute fleet in a fast-growing AI inference platform. You will build and own metrics pipelines, alerts, and a unified health view across thousands of GPUs in production.

You will automate deployment debugging, create a scalable firmware telemetry stack, and define the qualification process for new GPUs onboarded to our platform. Join Beam at the ground floor of a rapidly growing startup.

Qualifications

• Experience with firmware-level diagnostics and telemetry.
• Proven ability to design health dashboards.
• Experience with GPU compute hardware.

Responsibilities

• Own compute fleet health end to end with metrics pipelines and alerting.
• Automate deployment debugging from detection to triage.
• Design the GPU qualification platform including burn-in and performance baselining.
• Own firmware-level telemetry and log collection at scale.

Skills

Hardware fault analysis

Firmware debugging

GPU platforms

Open source

Tools

Telemetry pipelines

Logging at scale

CI/CD

Job description

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