AI Sandbox Platform Engineer — Secure, High-Performance Infra

United States Digital Space LLC; New York, San Francisco (NY, CA); On-site; USD 180,000 - 225,000; Full time

Benefits offered by this job

Health insurance

Dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking an AI Infrastructure Engineer to design and evolve its sandboxing platform, delivering a secure, high-performance code execution layer across containerized and virtualized environments. You will partner with researchers and engineers to shape APIs, error messages, and docs that make the platform delightful to use.

You will own end-to-end projects, balance immediate needs with long-term architecture, and contribute to a robust developer experience while optimizing latency and

Qualifications

• 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

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

Skills

High-performance systems

Linux internals

Containerization/virtualization

Go / Rust / C/C++

Developer experience

Kubernetes

Performance debugging

Tools

Docker

Firecracker

gVisor

QEMU

Kata Containers

Job description

Scale is seeking an AI Infrastructure Engineer to design and evolve its sandboxing platform, delivering a secure, high-performance code execution layer across containerized and virtualized environments. You will partner with researchers and engineers to shape APIs, error messages, and docs that make the platform delightful to use.

You will own end-to-end projects, balance immediate needs with long-term architecture, and contribute to a robust developer experience while optimizing latency and