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Описание вакансии
Текст:
TL;DR
AI Infrastructure Engineer (Sandbox Platform) (Secure Code Execution): Building a high-performance agent sandboxing platform, client library, and APIs for secure code execution across containerized and virtualized environments with an accent on isolation, reproducibility, and developer experience. Focus on optimizing cold-start latency and resource utilization, debugging production systems, and designing architecture across kernel and orchestration layers.
Company
Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies for AI applications used by enterprises, governments, and leading technology companies.
What you will do
- Design and build a secure sandboxing platform, client library, and API surface for code execution in 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.
- Debug production issues, monitor systems, respond to incidents, and implement preventive fixes through root cause analysis.
- Partner with internal platform users to understand needs, debug issues, and develop supporting tooling.
- Lead architecture reviews and own projects from design through deployment while contributing to the sandboxing product roadmap.
Requirements
- 4+ years of experience building high-performance systems software and maintaining libraries, SDKs, or developer-facing APIs.
- Deep understanding of Linux internals, including process isolation, memory management, cgroups, and namespaces.
- Experience with containerization and virtualization technologies such as Docker, Firecracker, gVisor, QEMU, or Kata Containers.
- Proficiency in a systems programming language such as Go, Rust, or C/C++.
- Experience with API design, error propagation, documentation, and developer experience for well-crafted libraries.
- Ability to work across infrastructure layers, from kernel modules to orchestration frameworks such as Kubernetes, and navigate production performance and security tradeoffs.
Nice to have
- Founder or early-engineer experience at an infrastructure-focused startup with end-to-end product ownership.
- Familiarity with LLM agents and agent frameworks such as OpenHands, Agent2Agent, or MCP.
- Experience running secure workloads in multi-tenant or untrusted environments, including FaaS, CI sandboxes, or remote notebooks.
- Exposure to snapshotting and restore technologies such as CRIU, VM snapshots, or overlayfs.
- Open-source contributions to systems or developer-tools projects and production on-call experience.
Culture & Benefits
- Benefits may include comprehensive health, dental, and vision coverage.
- Retirement benefits, a learning and development stipend, and generous paid time off are available for eligible roles.
- Eligible roles may include equity compensation and a commuter stipend.
- Inclusive and equal-opportunity workplace with reasonable accommodation support for applicants with disabilities.
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