The opportunity
Crusoe 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.
What you'll do
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.
What they're looking for
- 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.
