Cloud computing is broken.

AI has introduced a new generation of workloads, like GPU inference, sandboxes, and agents. These aren't ordinary applications that can be run as Lambdas, or Dockerized apps on VMs: they're massive, stateless containers that need to spin up in <1s, often across multiple clouds and regions.

Today, engineers are hacking together infra that breaks under real-world loads. That's where we come in.

Our mission is to build the world's best compute platform for AI. Our first product is a serverless inference platform, used by companies like Coca Cola, Geospy and hundreds more. We've built our own container runtime, called beta9, which is designed for launching GPU-backed containers in under 1s.

We're a small, highly-technical team, with backgrounds in distributed systems and robotics. We've raised $7M from YC, Tiger, Guy Podjarny (Founder of Snyk), and Jason Warner (former CTO of Github).

We're searching for intensely curious, passionate, and hard-working engineers to join our mission in rebuilding the cloud for the age of AI.

Beam is a platform for running AI/ML applications in the cloud without managing your own infrastructure. We built a serverless runtime that launches GPU-backed containers in less than 1 second, and developers use our platform to serve apps to millions of users around the globe. Use cases range from hosting custom ML models to running LLM-generated code in secure sandboxes.

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 globe.

Skills & Experience

• 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

Our infra code is mostly Go, our backend APIs are Python, and our dashboard is React/Typescript. We work very closely with customers – they’re all in a communal Slack channel with us, so it’s important that you’re interested in interacting with them (luckily, our customers are all developers).