AI系统架构师（Env Sandbox方向）-基础技术
Core
Design and build high-performance, scalable Env Sandbox systems to support the evolution of next-generation AI Agents and large-scale Reinforcement Learning (RL) training.
Role type
Senior IC AI Systems Architect (Env Sandbox)
Builds
Multi-OS AI Agent sandbox environments, RL post-training infrastructure, and simulation platforms for complex agent perception and execution.
Domain
AI Infrastructure / Reinforcement Learning / Systems Engineering
Deliverable
production ML models
Required skills
Linux kernel internals, virtualization technologies (KVM/QEMU), container runtimes (Containerd/RunC), network protocol stack design, C++, Go, Python, system performance tuning, heterogeneous GPU adaptation.
Preferred skills
Windows/Android emulation experience, deep system optimization capabilities.
Responsibilities
Design and implement sandbox environments supporting Windows, Android, and Linux; optimize sandbox startup throughput and latency; implement enterprise features like snapshot reset, remote storage mounting, and ACL isolation; adapt to heterogeneous compute hardware; integrate RL post-training infrastructure for large-scale parallel sampling.
