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# Staff Cloud Hypervisor Engineer, Compute

- **Company:** Crusoe's Inc
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $215,000.0 - $260,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Cloud Computing, Profiling, Computer Programming, Computer Engineering, Software Debugging, Network Interface Controllers, Hypervisor, InfiniBand, Kernel-Based Virtual Machine, Linux Kernel, Open Source Technology, Peer-To-Peer (P2P), PCI Express, Quick EMUlator (QEMU), System Programming, Systems Integration, Virtualization Technology, Graphics Processing Unit (GPU), Perf (Linux), Hardware Acceleration, Machine Learning Operations
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=19558b0bf8042721

## About the Role

* 7+ Years of Experience: Proven track record in hypervisor internals, kernel development, or low-level systems programming.
 * Deep Virtualization Expertise: Expert-level knowledge of CPU virtualization (Intel VT-x, AMD-V) and memory virtualization (EPT/NPT, HugePages). You should be comfortable discussing the nuances of VMExit overhead.
 * Hardware-Software Integration: Experience working with specialized AI hardware, including GPUs, InfiniBand/RoCE NICs, and SmartNICs/DPUs.
 * Programming & Tooling: Mastery of C and C++ is required; proficiency in Rust for modern systems programming is highly preferred. Experience with QEMU, KVM, and Linux kernel debugging tools (perf, ftrace, eBPF).
 * I/O Mastery: Deep understanding of VirtIO, vhost-user, and hardware-accelerated I/O paths.
 * Technical Leadership: Experience leading complex, cross-functional projects that bridge the gap between hardware engineering and cloud control planes

## Description

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., * 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.