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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Anthropic's Mission - **Location:** New York, United States - **Salary:** $320,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, C++ (Programming Language), Cloud Computing, Computer Programming, Computer Literacy, Software Debugging, Linux, Memory Management, Kernel-Based Virtual Machine, Linux Kernel, Machine Learning, Quick EMUlator (QEMU), Software Engineering, System Programming, Virtualization Technology, Reinforcement Learning, Agentic-AI, Kubernetes, Claude, Serverless Computing - **Published:** October 2, 2026 - **Apply:** https://startup.jobs/software-engineer-sandboxing-anthropic-3-10265021 ## About the Role * 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, * 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 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, 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 Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. ## Description 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 ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Claude, MCP and n8n, or: How to Automate Your Day with AI-powered Workflows](https://www.wearedevelopers.com/videos/2043-claude-mcp-and-n8n-or-how-to-automate-your-day-with-ai-powered-workflows) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [How Much Does a Software Engineer Make? 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