The opportunity
Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work.
What you'll do
Design, build, and operate the sandboxing infrastructure that runs untrusted,: model-generated code and agent workloads at scale
Improve sandbox startup time, density, and throughput, including snapshot and: restore, checkpointing, and warm pools
Strengthen isolation across compute, filesystem, and network, including: egress controls and per-session credential handling
Investigate and fix performance, reliability, and security issues at the: kernel, hypervisor, and container runtime level
Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox
Work with researchers to support reinforcement learning environments and: evaluations that need fast, reproducible, isolated execution
What they're looking for
- Experience building or operating a multi-tenant sandbox, serverless, or code execution platform
- Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore
- Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code
- Experience with eBPF and kernel tracing tools
- Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP)
- Experience with network isolation, high-performance networking, or building egress proxies and policy layers
- Experience with sandboxes for AI agents, computer use, or reinforcement learning environments
- Experience with GPU virtualization, accelerators, or performance work on machine learning workloads
