Software Engineer (Sandboxing)

• 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
• 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
• 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
• Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers
• Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios
• Work with cloud providers on the hardware and platform features that our workloads depend on
• Share knowledge on systems programming and Linux internals, and help set technical standards for the team
• Representative projects:
• Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools
• Designing a network egress policy layer so agents can reach approved services without exposing secrets
• Running many thousands of parallel reinforcement learning environments with strong isolation between them
• Building tracing tools that attribute latency and resource use inside a running sandbox
• Reducing per-sandbox memory overhead to raise density on each host
• Hardening the runtime against escape attempts found in internal red-team exercises

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results
• 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
• Software engineering experience in Linux systems programming, kernel development, or another low-level area
• Strong communication skills and a commitment to building safe, reliable systems
• Experience profiling and debugging performance issues at the system level
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Experience with network isolation, high-performance networking, or building egress proxies and policy layers
• 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 Kubernetes and cloud infrastructure at scale (AWS, GCP)
• Experience with sandboxes for AI agents, computer use, or reinforcement learning environments
• Prior experience as a technical lead or mentor
• Experience with eBPF and kernel tracing tools
• Experience with GPU virtualization, accelerators, or performance work on machine learning workloads
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed