1 day ago
Base Salary
$285k - $335k/yr
Responsibilities
- Shape long-term infrastructure strategy and practical plans for compute, storage, and networking platforms.
- Lead and participate in architecture reviews, design documents, and code reviews for critical infrastructure services.
- Improve virtualization and orchestration layers for GPU workloads, including hypervisors, device passthrough, SR-IOV, vDPA, virtio, and topology-aware scheduling.
- Develop and optimize distributed block, file, and object storage, NVMe/NVMe-oF, RDMA data paths, checkpointing, and data loading.
- Design and improve GPU networking fabrics, high-speed Ethernet, and AI cluster networking using XDP, eBPF, DPDK, OVS/OVN, BGP, EVPN, and VXLAN.
- Contribute to Linux kernel modules and high-performance network, storage, and device drivers.
- Integrate GPUs, SmartNICs, DPUs, IPUs, and NVMe hardware from qualification through platform bring-up.
- Troubleshoot cross-stack production issues and improve performance, observability, capacity planning, and failure-domain design.
- Evaluate emerging infrastructure technologies, contribute to open-source projects, collaborate with stakeholders, and mentor engineers.
Requirements
- 10+ years of experience building and operating large-scale production infrastructure, ideally in cloud or hyperscale data-center environments.
- Hands-on experience across compute, storage, and networking, including cross-domain problem solving.
- Strong systems programming skills in C, C++, Rust, or Go for performance-critical services and control planes.
- Extensive knowledge of Linux kernel architecture, memory management, scheduling, I/O, networking stacks, and device-driver development.
- Experience with KVM/QEMU or similar hypervisors, container runtimes, Kubernetes, and GPU, CPU, and NUMA topology.
- Familiarity with distributed storage, NVMe/NVMe-oF, RDMA, and storage consistency, durability, and performance tradeoffs.
- Familiarity with data-center fabrics and technologies including Spine-Leaf, BGP, EVPN, VXLAN, OVS, OVN, XDP, eBPF, and DPDK.
- Familiarity with SmartNICs, DPUs, and accelerators including NVIDIA ConnectX-6/7, BlueField-3, and Intel IPUs.
- Experience diagnosing complex issues spanning hardware, firmware, the kernel, and control-plane software.
- Proven ability to lead through influence, communicate effectively in writing, and mentor engineers.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related analytical field, or equivalent professional experience.
- Preferred qualifications include contributions to Linux kernel, KVM/QEMU, Kubernetes, Ceph, OVS, OVN, Cilium, or Multus; infrastructure automation and fleet-management experience; GPU training at scale; and hardware co-design experience.
Benefits
- Competitive compensation and equity packages, including Restricted Stock Units.
- Paid time off, paid holidays, leave programs, and paid parental leave.
- Comprehensive health, dental, and vision insurance, employer HSA contributions, paid life insurance, and short- and long-term disability coverage.
- Professional development, tuition reimbursement, mental health and wellness support, commuter benefits, and a cell phone stipend.
- 401(k) retirement plan with company match up to 4% of salary.
- Volunteer time off, global travel insurance and emergency assistance, daily meals allowance, and location-specific perks.
- Full-time position; additional practical work-location details are not stated.
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.