AI Infrastructure Engineer, Sandbox Platform

Scale AI
San Francisco, Seattle, New York
Workplace: OnsiteFull timeUSD 180,000 - 225,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsSkills: ["Debugging","Architecture reviews","Root cause analysis","Cross-functional collaboration","Handling ambiguity"]

Build and evolve a secure, high-performance agent sandboxing platform, including the client library, APIs, and tooling for containerized and virtualized code execution. You’ll ensure strong isolation, security, and reproducibility, optimize latency and resource use, and reduce production error rates through debugging and monitoring. Partner with internal teams to shape the roadmap, run root-cause analysis during incidents, and lead end-to-end architecture reviews and deployments.

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FursaFursa
Scale AI
Scale AI
1 month ago

AI Infrastructure Engineer, Sandbox Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and evolve a secure, high-performance agent sandboxing platform, including the client library, APIs, and tooling for containerized and virtualized code execution. You’ll ensure strong isolation, security, and reproducibility, optimize latency and resource use, and reduce production error rates through debugging and monitoring. Partner with internal teams to shape the roadmap, run root-cause analysis during incidents, and lead end-to-end architecture reviews and deployments.
Location: San Francisco, Seattle, New York
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key 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 across user sessions and workloads.
  • •Optimize cold-start latency, memory footprint, and resource utilization at scale.
  • •Drive down error rates using systematic debugging, monitoring, and proactive fixes.
  • •Respond to incidents with urgency, perform root cause analysis, and implement preventive fixes; lead projects end-to-end from design through deployment.

Pay and Benefits

Salary: USD 180,000 - 225,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •4+ years building high-performance systems software, including maintaining libraries, SDKs, or developer-facing APIs.
  • •Deep understanding of Linux internals such as process isolation, memory management, cgroups, and namespaces.
  • •Experience with containerization and virtualization technologies including Docker, Firecracker, gVisor, QEMU, or Kata Containers.
  • •Proficiency in a systems programming language such as Go, Rust, or C/C++.
  • •Comfort working across infrastructure layers and strong debugging skills with the ability to evaluate performance/security tradeoffs.
Experience:4+ yearsAI infrastructureSystems softwareDeveloper toolsContainersVirtualizationLinux internalsLLM agents
Skills:DebuggingArchitecture reviewsRoot cause analysisCross-functional collaborationHandling ambiguity
Languages:En
Tech Stack:LinuxDockerFirecrackerGVisorQEMUKata ContainersGoRustC/C++CgroupsNamespacesKubernetesCRIUVM snapshotsOverlayfsFaaSCI sandboxesRemote notebooksOpenHandsAgent2Agent

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn