Software Engineer, Sandboxing

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2>About the role</h2> <p>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. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy.</p> <p>These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other.</p> <h2>Key responsibilities</h2> <ul> <li> <p>Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale</p> </li> <li> <p>Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools</p> </li> <li> <p>Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling</p> </li> <li> <p>Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level</p> </li> <li> <p>Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox</p> </li> <li> <p>Work with researchers to support reinforcement learning environments and evaluations that need f