AI Infrastructure Engineer, Sandbox Platform

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, namespaces, etc.

Compensation

packages at Scale for eligible roles include base salary, equity, and

, subject to Board of Director approval.

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.