Staff Cloud Hypervisor Engineer, Compute
Crusoe · Sunnyvale, CA - US
Infrastructureonsitestaff$215k–$260k
At a glance
Highlights
- Lead architect for next-gen virtualization delivering bare-metal AI performance.
- Eliminate virtualization tax to power massive-scale AI workloads at speed.
- Solve live migration and low-latency challenges for demanding AI workloads.
What they offer
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
A low-level systems builder who thrives on hard performance puzzles and greenfield architecture, motivated by delivering bare-metal speed for AI at massive scale.
Requirements
- 7+ years of experience in hypervisor internals, kernel development, or low-level systems programming
- Expert-level knowledge of CPU virtualization (Intel VT-x, AMD-V) and memory virtualization (EPT/NPT, HugePages)
- Experience working with specialized AI hardware, including GPUs, InfiniBand/RoCE NICs, and SmartNICs/DPUs
- Mastery of C and C++ required; proficiency in Rust for modern systems programming highly preferred
- Experience with QEMU, KVM, and Linux kernel debugging tools (perf, ftrace, eBPF)
- Deep understanding of VirtIO, vhost-user, and hardware-accelerated I/O paths
- Experience leading complex, cross-functional projects bridging hardware engineering and cloud control planes
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
Posted · Last seen