Staff Cloud Hypervisor Engineer, Compute

At Crusoe, we are building the "engine room" of the AI revolution. We are seeking a Staff Cloud Hypervisor R&D Engineer to serve as the lead architect for our next-generation virtualization stack. In this role, you will move beyond standard virtualization to design a "Greenfield" hypervisor environment where GPUs, DPUs, and high-speed interconnects are first-class citizens. You will be responsible for eliminating the "virtualization tax," ensuring our cloud infrastructure delivers bare-metal performance for the world’s most demanding AI/ML workloads.

What You'll Be Working On:

• Next-Gen Hypervisor Architecture: Lead the R&D and implementation of core hypervisor components (KVM, QEMU, or custom Rust-based solutions) specifically optimized for massive-scale GPU fleets.
• AI Hardware Virtualization: Develop and refine advanced hardware pass-through and abstraction techniques (SR-IOV, VFIO, mdev) to ensure NVIDIA GPUs and BlueField DPUs operate with near-zero latency in a multi-tenant environment.
• The "Holy Grail" Challenges: Solve high-stakes technical hurdles such as live migration for AI workloads with 80GB+ VRAM and optimizing PCIe peer-to-peer communication between virtualized accelerators.
• Performance Research & Profiling: Conduct deep-dive bottleneck analysis across the entire stack—from CPU microarchitecture and MMU virtualization to guest OS scheduling—to minimize jitter and maximize throughput.
• Open Source Leadership: Actively contribute to and maintain upstream open-source virtualization projects, positioning Crusoe as a thought leader in the Linux kernel and virtualization communities.
• Security & Isolation: Architect robust security boundaries for AI-native cloud infrastructure, balancing high-performance hardware access with strict multi-tenant isolation and hardening.

What You'll Bring to the Team:

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