infrastructure
Posted 6 days agoAI Infrastructure Engineer, Sandbox Platform
at scaleai
San Francisco, United StatesOn-site
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
- 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
Requirements
- 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.
- experience of the engineers and researchers using this system as they do about the kernel internals underneath it.
- experience: clean APIs, clear error messages, good docs, and a client library that feels well-crafted.
- 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++
- 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
- 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)
- At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
- Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
- We are expanding our team to accelerate the development of AI applications.
Benefits
- 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 to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
- benefits such as a commuter stipend.
- For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $180,000 — $225,000 USD
- We comply with the United States Department of Labor's Pay Transparency provision .
Contact
- If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.
Additional details
- This is a role for someone who cares as much about the
- You'll combine deep systems expertise (isolation, virtualization, performance) with an obsession for developer
- 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:
- 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
- experience — API design, error propagation, documentation, and the small details that make a library feel well-crafted
- History of on-call/incident response for production systems
- Additionally, this role may be eligible for additional
- Please reference the job posting's subtitle for where this position will be located.