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.
About the role
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.
Key responsibilities
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
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
About Anthropic
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.
About the role
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.
Key responsibilities
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
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
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.
About the role
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.
Key responsibilities
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
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
About Anthropic
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.
About the role
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.
Key responsibilities
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
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
