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AI Infrastructure Engineer, Sandbox Platform

Job in Seattle, King County, Washington, 98127, USA
Listing for: Scale AI, Inc.
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 225000 USD Yearly USD 180000.00 225000.00 YEAR
Job Description & How to Apply Below

AI Infrastructure Engineer – Agent Sandbox Platform

As a Software Engineer on the AI Infrastructure team, you'll help build and evolve our agent sandboxing platform – the secure, high-performance code execution layer powering our agentic workflows, deployed across both internal and customer‑managed environments. This is a role for someone who cares as much about the experience of the engineers and researchers using this system as they do about the kernel internals underneath it.

You'll combine deep systems expertise (isolation, virtualization, performance) with an obsession for developer experience: clean APIs, clear error messages, good docs, and a client library that feels well‑crafted. You'll partner closely with internal teams to understand how they use the platform, debug their issues, and shape a roadmap that balances immediate needs with long‑term architecture.

You will:
  • 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
Ideally you'd have:
  • 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, name spaces, 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., Open Hands, Agent2

    Agent, 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 packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited…

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