Lead Endpoint Systems Researcher
Research and build secure endpoint runtimes for AI coding agents and infrastructure for deploying local models across diverse operating systems and hardware. Work from research prototypes through production with CLI and platform teams.
Обязанности
- Research how AI coding agents execute commands, access files, and interact with operating systems.
- Design sandboxing architectures to constrain filesystem, network, process, and credential access.
- Implement OS-native isolation mechanisms across macOS, Windows, and Linux.
- Build endpoint harnesses to intercept, control, and observe agent execution.
- Develop infrastructure for deploying, monitoring, and managing local models across endpoint fleets.
- Evaluate inference runtimes and benchmark model performance on endpoint hardware.
- Research security boundaries between agents, local and cloud models, and enterprise resources.
- Bring endpoint research from prototype to production in collaboration with CLI and platform teams.
Требования
- Strong understanding of operating system fundamentals and workload isolation.
- Hands-on systems experience across multiple operating systems, ideally Linux, macOS, and Windows.
- Experience building or debugging software that runs on developer endpoints, workstations, or servers.
- Comfort with system calls, OS APIs, process behavior, and reverse engineering.
- Ability to move between research prototypes and production-quality systems code.
Будет плюсом
- Experience with local LLM runtimes, model quantization, inference performance, or hardware acceleration.
- Familiarity with OS sandboxing, endpoint security, containers, virtualization, or endpoint fleet management.
- Hands-on use of AI coding agents or experience with TypeScript.