You will be a trusted technical partner across the infrastructure stack, helping guide architecture decisions and mentoring engineers to raise our collective technical bar. You will look at the whole system alongside the teams who own each layer: how a storage tier, a scheduler, and a network fabric interact under a multi-node training job, and where the real bottleneck sits. You will collaborate closely with Product, Hardware, and Infrastructure teams to build a reliable, scalable platform together that aligns with Crusoe’s mission to innovate sustainably. This is a full-time position.
WHAT YOU’LL BE WORKING ON
Infrastructure Strategy: Partner with engineering, product, and leadership to help shape the long-term direction for compute, storage, and networking, and to turn that direction into practical plans and milestones.
Architecture & Design: Collaborate with teams on architecture reviews, design documents, and code reviews for critical infrastructure components and services across all three domains.
Compute & Virtualization: Work with compute teams on the virtualization and orchestration layers that deliver bare-metal-class performance to GPU workloads, including hypervisor tuning, SR-IOV, vDPA, virtio, device passthrough, and NUMA- and topology-aware scheduling.
Storage Systems: Work with storage teams on high-throughput, low-latency storage for training and inference pipelines, including distributed block, file, and object storage, NVMe and NVMe-oF, RDMA-based data paths, and checkpointing and data-loading performance.
Networking & Fabric: Partner with networking teams on architectures for GPU-to-GPU fabrics, high-speed Ethernet, and specialized AI clusters, using technologies such as XDP, eBPF, DPDK, OVS/OVN, BGP, EVPN, and VXLAN.
Kernel & Driver Work: Contribute to Linux kernel modules and high-performance drivers across the network, storage, and device stack.
Hardware Integration: Work with Hardware teams on accelerators and offload devices, including GPUs, SmartNICs, DPUs, IPUs, and NVMe, from qualification through bring-up of new platforms.
Cross-Stack Performance & Reliability: Team up with on-call, SRE, and domain engineers to troubleshoot complex production issues that cross compute, storage, and network boundaries, and to improve performance, observability, capacity planning, and failure-domain design.
Technology Evaluation: Explore emerging infrastructure technologies with the team, contribute to open-source projects where strategically relevant, and share learnings with the broader organization.
Mentorship & Collaboration: Partner with internal stakeholders on end-to-end features, and mentor and support engineers across teams to foster a culture of engineering excellence.
WHAT YOU’LL BRING TO THE TEAM
Large-Scale Infrastructure Mastery: 10+ years of experience building and operating large-scale infrastructure systems in production, ideally within cloud or hyperscale data center environments.
Cross-Domain Breadth: Hands-on experience across compute, storage, and networking, and a track record of solving problems that cross domain boundaries.
Systems Programming Excellence: Strong systems programming skills in C, C++, Rust, or Go, with experience working on performance-critical services and control planes.
Linux Internals Depth: Extensive knowledge of the Linux kernel architecture, memory management, scheduler, I/O and network stacks, and device driver development.
Virtualization & Compute Literacy: Experience with KVM/QEMU or similar hypervisors, container runtimes, and orchestration platforms such as Kubernetes, plus an understanding of GPU, CPU, and NUMA topology and its effect on workload performance.
Storage Literacy: Familiarity with distributed storage architectures (block, file, or object), NVMe/NVMe-oF, RDMA, and the consistency, durability, and performance tradeoffs involved.
Network & Fabric Literacy: Familiarity with data center fabrics (e.g., Spine-Leaf, BGP, EVPN, VXLAN), network virtualization tools such as OVS or OVN, and high-speed packet processing technologies such as XDP, eBPF, or DPDK.
Accelerator Knowledge: Familiarity with SmartNICs, DPUs, and accelerators, such as NVIDIA ConnectX-6/7 and BlueField-3 or Intel IPUs.
Production Debugging: Experience working with others to diagnose complex issues across the full stack, from hardware and firmware through the kernel to control-plane software.
Strategic Influence: A proven track record of leading through influence, with excellent written communication skills and a strong mentoring mindset.
Education: A Bachelor’s degree in Computer Science, Computer Engineering, or a related analytical field (or equivalent professional experience).
BONUS POINTS
Open-Source Contributions: Active contributions to projects such as the Linux kernel, KVM/QEMU, Kubernetes, Ceph, OVS, OVN, Cilium, or Multus.
Orchestration & Automation Expertise: Experience with infrastructure automation, fleet management, or complex orchestration tooling.
GPU Training at Scale: Prior experience building compute, storage, or networking stacks for multi-node GPU training at scale.
Hardware Co-Design: Experience working with hardware teams on platform design, qualification, and firmware-to-software integration.
Benefits
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 Range
Compensation will be paid in the range of up to $285,000 - $335,000 + 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.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
