Distributed Systems Engineer

About the role

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

See the posting on Beam's site