# AI Infrastructure Engineer, Sandbox Platform

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, Seattle, WA, New York, NY
**Role:** DevOps / SRE
**Salary:** $180k – $225k/yr
**Experience:** 4+ years
**Skills:** linux internals, cgroups, namespaces, Docker, firecracker, gvisor, qemu, kata containers, Go, Rust, C++, Kubernetes, API Design
**Posted:** 2026-07-20

> Build and evolve a secure, high-performance agent sandboxing platform for code execution. Combine deep systems expertise in isolation/virtualization with strong focus on developer experience, APIs, and internal partnerships. Requires 4+ years in high-performance systems software.

## Job Description

## Responsibilities
- Design and build the sandboxing platform, client library, and API surface for secure code execution across containerized and virtualized environments.
- Ensure strong isolation, security, and reproducibility of execution across user sessions and workloads.
- Optimize for cold-start latency, memory footprint, and resource utilization at scale.
- Drive down error rates through systematic debugging, monitoring, and proactive fixes.
- Partner closely with internal teams using the platform to understand their needs, debug issues, and build tooling that serves their use cases.
- Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes.
- Help develop and maintain a product roadmap for sandboxing, balancing immediate needs against long-term architectural investment.
- Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings.

## Requirements
- 4+ years of experience building high-performance systems software, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs.
- Deep understanding of Linux internals: process isolation, memory management, cgroups, namespaces, etc.
- Experience with containerization and virtualization technologies (e.g., Docker, Firecracker, gVisor, QEMU, Kata Containers).
- Proficiency in a systems programming language such as Go, Rust, or C/C++.
- A track record of obsessing over developer experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted.
- Comfort working across infrastructure layers, from kernel modules to orchestration frameworks (e.g., Kubernetes).
- Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems.
- Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development.

## Nice-to-Haves
- Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end.
- Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP).
- Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks).
- Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots, overlayfs).
- Open-source contributions to systems or developer-tools projects.
- History of on-call/incident response for production systems.

## Compensation & Benefits
Compensation packages include base salary, equity, and benefits. Base salary range for this full-time position in San Francisco, New York, Seattle: $180,000–$225,000 USD. Employees in eligible roles are granted equity. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and may include a commuter stipend.

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