AI Infrastructure Engineer, Sandbox Platform
Build and operate a secure, high-performance sandboxing platform for agentic code execution across containerized and virtualized environments. The role requires systems software experience, deep Linux knowledge, proficiency in Go, Rust, or C/C++, and strong developer-facing API and production debugging skills.
About the job
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.
- Reduce error rates through systematic debugging, monitoring, and proactive fixes.
- Partner with internal teams to understand platform needs, debug issues, and build supporting tooling.
- Respond to incidents and production issues, conduct root-cause analysis, and implement preventive fixes.
- Help develop and maintain the sandboxing product roadmap, balancing immediate needs with long-term architecture.
- Lead architecture reviews and own projects end-to-end from design through deployment.
Requirements
- 4+ years of experience building high-performance systems software, including meaningful experience 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++.
- Strong focus on developer experience, including API design, error propagation, documentation, and library quality.
- Ability to work across infrastructure layers, from kernel modules to orchestration frameworks such as Kubernetes.
- Strong debugging skills and ability to navigate performance and security tradeoffs in production systems.
- Comfort with ambiguity and switching between incident response and proactive product development.
Nice to Have
- Experience as a founder or early infrastructure startup engineer 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 techniques such as CRIU, VM snapshots, or overlays.
- Open-source contributions to systems or developer-tools projects.
- Production on-call or incident-response experience.
Skills
Linux, Go, Rust, C/C++, Docker, Firecracker, Gvisor, Qemu, Kubernetes, Cgroups, Namespaces, Criu, Virtualization, API Design, Llm Agents
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