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Distributed Systems Engineer

Beam
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New York, NY, San Francisco, CA, Hybrid (Remote (US))$140k - $200k + equityFull-timePosted 3mo ago

About the role

Beam is an ultrafast AI inference platform. The role focuses on Platform Engineering, working on low-level systems, container runtimes, GPU orchestration across clouds, and cutting-edge technologies like CRIU and GPU checkpoint restore. Backend primarily in Go with some Python. Impact: directly affects millions of users.

Responsibilities

  • Low-level systems development: container runtimes, OCI image formats, lazy-loading large files from content addressable storage
  • Efficiently packing thousands of workloads into GPUs across multiple clouds
  • Work with cutting-edge technologies, like GPU checkpoint restore and CRIU
  • Collaborate closely with customers
  • Develop and maintain platform tooling and infrastructure (Go/Python backend)
  • Contribute to a cloud-native, open source oriented environment

Qualifications

  • 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 gRPC, Helm/Kustomize, and Terraform
  • Excited to collaborate closely with customers
  • Enthusiasm for developer tools, cloud native technologies, and open source software

Skills

Required:GoKubernetes
Nice to have:RustPythongRPCHelm/KustomizeTerraform

Benefits

  • Competitive salary and meaningful equity
  • 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
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Beam

AI-Native Cloud Platform

Beam is cloud platform for AI inference, sandboxes, and agents.

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