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Salary: USD 320,000 - 485,000 / annual
Anthropic is seeking a Software Engineer to join the Sandboxing team, which builds the isolation layer that runs untrusted, model-generated code and agent workloads at scale. Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. These systems must start in milliseconds, withstand adversarial code, and scale to very large numbers of concurrent sessions.
You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem, partnering with research, product, and security teams to ensure that safety and performance do not trade off against each other.
Key responsibilities include:
- Design, build, and operate sandboxing infrastructure for untrusted, model-generated code and agent workloads at scale
- Improve sandbox startup time, density, and throughput through 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 monitoring, tracing, and debugging tools to show where time and resources go inside a sandbox
- Work with researchers to support reinforcement learning environments and evaluations requiring fast, reproducible, isolated execution
- Work with product and platform engineers to expose sandboxes as a dependable capability for Claude products and customers
- Partner with security teams to threat-model the platform and test, harden, and respond to escape and abuse scenarios
- Work with cloud providers on hardware and platform features that workloads depend on
- Share knowledge on systems programming and Linux internals, and help set technical standards for the team
Representative projects include cutting sandbox cold start from seconds to milliseconds, designing network egress policy layers, running thousands of parallel reinforcement learning environments with strong isolation, building tracing tools for latency attribution, reducing per-sandbox memory overhead, and hardening the runtime against escape attempts.
Minimum qualifications:
- Software engineering experience in Linux systems programming, kernel development, or another low-level area
- Strong programming skills in at least one systems language such as Rust, C, C++, or Go
- Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc
- Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management
- Experience profiling and debugging performance issues at the system level
- Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results
- Strong communication skills and a commitment to building safe, reliable systems
Preferred qualifications:
- 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
- Prior experience as a technical lead or mentor
Education requirement: Bachelor's degree or equivalent combination of education, training, and/or experience in a field relevant to the role. Years of experience required will correlate with internal job level requirements.
