Distributed Systems Engineer

BeamBeam 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 RoleWe'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 storageEfficiently packing thousands of workloads into GPUs across multiple cloudsWorking with cutting-edge technologies, like GPU checkpoint restore and CRIUOur backend is mostly in Go, with some Python. Your work will directly impact millions of users around the world.Skills & Experience3-5 years of experience working with a large distributed systemComfortable with KubernetesExperience writing a statically typed language, like Golang or RustFamiliarity with things like gRPC, Helm/Kustomize, and TerraformExcited to collaborate closely with customersEnthusiasm for developer tools, cloud native technologies, and open source softwareBenefitsCompetitive salary and meaningful equityJoin a fast-growing pre-series A company at the ground floorHealth, dental, and vision benefits with 90% coverage for you and 50% for dependentsOpportunities to participate in events across the cloud native communityFitness stipend, learning budget, and much, much more