Beam
Distributed Systems Engineer
New
160000 –200000 USD / yearUSAMiddleRemotegopythonkubernetesgrpchelmkustomizeterraform
Working on platform engineering focused on low-level systems development and efficient GPU workload management across clouds.
Responsibilities
- 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.
Conditions
- 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
Other
- 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.
- 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