Software Engineer, Sandboxing

Anthropic; New York (NY); On-site; USD 320,000 - 485,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space in SF or NYC

Job summary

Anthropic is hiring for a role at the intersection of Linux systems programming and sandboxing infrastructure. You will help design and run the sandboxing layer used by Claude, with focus on fast startup, isolation, and scalable performance across many concurrent sessions.

You will collaborate with research, product, and security teams to ensure safe, reliable, and high-performance execution environments for AI workloads and agents.

Qualifications

• Experience in Linux systems programming or kernel development.
• Proficiency in at least one systems language (Rust, C, C++, Go).
• Knowledge of virtualization/container isolation tech (KVM, QEMU, Firecracker, gVisor, runc).
• Understanding of Linux namespaces, cgroups, scheduling, memory management.
• Experience profiling and debugging system-level performance issues.
• Ability to learn unfamiliar codebases and ship practical solutions.
• Strong communication and collaboration skills.

Responsibilities

• Design, build, and operate sandboxing infrastructure for untrusted code and agent workloads at scale.
• Improve sandbox startup time, density, throughput, and warm pools.
• Strengthen isolation across compute, filesystem, and network with per-session credentials.
• Investigate and fix performance, reliability, and security issues at kernel/hypervisor/container runtime level.
• Build monitoring, tracing, and debugging tools to attribute latency and resource use.
• Collaborate with researchers to support RL environments and evaluations needing fast, isolated execution.
• Expose sandboxes as dependable capabilities for Claude products and customers; partner with security teams on threat-modeling.
• Work with cloud providers on hardware/platform features our workloads depend on.
• Share knowledge on systems programming and Linux internals and help set technical standards.

Skills

Linux systems programming

Systems languages

Virtualization / container isolation

Linux resource management

Performance profiling

Adaptability to unfamiliar codebases

Strong communication

Education

Bachelor's degree

Tools

KVM

QEMU

Firecracker

gVisor

runc

Job description

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
• 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

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

The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary

$320,000-485,000 USD

Logistics

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.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We are an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.