СШАStaff Cloud Hypervisor Engineer, Compute
4 дн. назад
СШАLeadOnsite
cloudvirtualizationhypervisor
Lead architect for next-generation virtualization stack focusing on AI compute infrastructure.
Обязанности
- At , 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.
Требования
- 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
Условия
- 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
- Additional perks & programs specific to location
- Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.
Другое
- is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join , you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at .
- 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 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.