# Software Engineer, Sandboxing at Anthropic

> Open role observed by RunReq as of 2026-10-15T00:26:38.494737+00:00.

## Role details

- Company: [Anthropic](http://runreq.com/company/anthropic/index.md)
- Location: San Francisco, CA \| New York City, NY
- Team: AI Research & Engineering
- Compensation: $320K–$485K /YR
- First observed: 2026-10-02T01:49:22.674721+00:00
- Days open: 13
- Employer posting: [View the authoritative posting](https://job-boards.greenhouse.io/anthropic/jobs/5440427008)

## Shortened description

### Key responsibilities

- Design, build, and operate sandbox infrastructure for untrusted model-generated code and agent workloads.
- Improve sandbox startup time, resource use, throughput, isolation, and reliability through snapshot restore, checkpointing, and warm pools.
- Investigate and fix performance, reliability, and security issues in Linux kernels, hypervisors, and container runtimes.
- Build monitoring, tracing, and debugging tools, and support secure execution for research, evaluation, product, and customer workloads.

### Qualifications needed

- Experience with Linux systems programming, kernel development, or another low-level software area.
- Strong programming skills in Rust, C, C++, or Go, plus knowledge of virtualization or container isolation technologies.
- Understanding of Linux namespaces, cgroups, scheduling, and memory management, with experience profiling and debugging system performance.
- Preferred: Experience with multi-tenant sandboxes, microVMs, OS security hardening, eBPF, Kubernetes, cloud infrastructure, network isolation, or AI workloads.

## Hiring context

- Open roles on this team: 66
- Newly observed on this team in 30 days: 7
- Company median days open: 55

## Interpretation

- RunReq records observed job postings; it does not show applicant volume or completed hires.
- The linked employer posting is authoritative for the full description and application process.
- Human-readable job page: http://runreq.com/jobs/e23a665a-a525-866d-9e00-54dfe89edd7f
- Site-wide agent directory: http://runreq.com/llms.txt