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** We’re looking to hire someone to help us with Platform Engineering work. We’re working on lots of fun problems: * Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage * Efficiently packing thousands of workloads into GPUs across multiple clouds * Working with cutting-edge technologies, like GPU checkpoint restore and CRIU Our backend is mostly in Go, with some Python. **Your work will directly impact millions of users around the world.** # Skills & Experience * 3-5 years of experience working with a large distributed system * Comfortable with Kubernetes * Experience writing a statically typed language, like Golang or Rust * Familiarity with things like gRPC, Helm/Kustomize, and Terraform * Excited to collaborate closely with customers * 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

Distributed Systems Engineer

Distributed Systems Engineer · Beam

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