Role OverviewThis is a deeply technical systems engineering role for someone comfortable debugging across hypervisors, operating systems, drivers, and production infrastructure. The team is solving difficult systems problems spanning Linux virtualization and Windows internals—making Windows VMs boot quickly, snapshot and restore efficiently, fork on demand, and expose desktop applications directly to AI agents through APIs.
What You Will Do
Build and productionize the Windows guest stack running on KVM/QEMU infrastructure. Develop and integrate virtio drivers, guest agents, image pipelines, and unattended provisioning systems. Optimize Windows boot, session initialization, and login latency to create an instant-start sandbox experience.
Why It Might Be a Fit
Ideal candidate has 5+ years of professional systems, infrastructure, virtualization, or platform engineering experience. Hands-on production experience running Windows guests on Linux hypervisors such as KVM/QEMU. Strong understanding of Windows internals, including boot processes, services, session management, and the registry.
Requirements
- 5+ years of professional systems, infrastructure, virtualization, or platform engineering experience
- Hands-on production experience running Windows guests on Linux hypervisors such as KVM/QEMU
- Strong understanding of Windows internals, including boot processes, services, session management, and the registry
- Experience automating Windows environments using PowerShell, WinRM, unattended provisioning, or similar tooling
- Strong systems programming skills with Go, Rust, C, C++, or C# for systems-level development
- Experience debugging issues across virtualization and operating system boundaries
- Strong understanding of production infrastructure, reliability, observability, and performance optimization
Benefits
- Competitive base salary
- Equity
- Full-time position reporting to the Engineering Lead for Windows Sandboxes
- Location options in San Francisco or Croatia
- Opportunity to work on unusual systems challenges at the intersection of Linux virtualization, Windows internals, and AI agent infrastructure
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