Location: San Francisco or Croatia

Type: Full-time

Reports to: Engineering Lead, GPU Sandboxes

About Daytona

Daytona is the infrastructure layer for AI agents. We provide secure, isolated, instantly available sandboxes where agents run code, use computers, and train. Our platform powers agent workloads, reinforcement learning, and developer environments for some of the largest AI companies in the world. We closed our Series A earlier this year and have already grown 10x since. We are a small, senior team moving extremely fast.

The role

You will build the runtime that gives every AI agent its own GPU. Full passthrough, hard isolation, serverless economics. This is deep systems work: hypervisors, kernels, drivers, and the orchestration layer that makes an GPUs appear behind an API call in seconds.

What You'll Do

• Build and harden the GPU sandbox runtime: KVM/QEMU, VFIO passthrough, IOMMU group management, guest driver and CUDA stack lifecycle
• Attack cold-start latency across the stack: image caching, VM boot paths, driver init, snapshot restore
• Build fleet-level systems: GPU-aware scheduling and bin-packing, health monitoring, failure detection, automated remediation
• Implement pause, snapshot, and fork semantics for GPU-attached workloads
• Own security-relevant surfaces: device isolation, side-channel considerations, tenant boundaries on shared hosts
• Debug the ugly stuff: PCIe errors, IOMMU faults, driver crashes, thermal throttling, the works

What We're Looking For

• 5+ years of systems engineering in production environments
• Hands-on depth in Linux virtualization internals: KVM, QEMU, libvirt, VFIO, IOMMU
• Strong Go, Rust, or C/C++ and real Linux kernel-adjacent debugging skills