Senior Staff Software Engineer, Storage DPU
- Location
- San Francisco, CA
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Salary
- $245k – $290k/yr
- Posted
Skills
About this role
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. When you join Crusoe, 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 Crusoe.
About the Role
Crusoe is building a globally distributed, high-performance storage platform purpose-built for AI/HPC workloads. We're looking for a Senior Staff Software Engineer to own how Crusoe's storage stack uses DPUs (NVIDIA BlueField-class SmartNICs) and related hardware offload to move that work off the host CPU and onto purpose-built silicon. This is a software-defined-acceleration role sitting at the boundary between our storage data plane and the physical network/compute fabric — you'll design and build the control-plane and data-plane software that lets Crusoe's storage stack take advantage of hardware offload for NVMe-oF, RDMA, and related protocol-level work, in close partnership with the Storage Networking and Compute/Hypervisor teams. You will set technical direction for DPU/offload strategy within Storage, work hands-on across the host/DPU boundary, and partner closely with the storage-networking, and Compute hypervisor-level DPU function What You'll Be Working On: Hardware Offload for Storage Protocols: Design and implement software that offloads storage-protocol work (NVMe-oF target/initiator processing, encryption, compression, checksums, erasure coding) from the host CPU onto DPUs/SmartNICs, measurably reducing host CPU overhead per I/O. Control-Plane Integration: Build and maintain the integration between Crusoe's storage orchestration layer and DPU-resident services, including provisioning, health/telemetry, and failover of offload paths. Cross-Team Fabric Work: Partner with the storage-networking function on the RDMA/RoCE and NVMe-oF fabric work that DPU offload depends on, and with Compute/Hypervisor on SR-IOV/vDPA-based virtualization of DPU resources for multi-tenant isolation. Vendor Framework Integration: Evaluate and integrate vendor DPU SDKs and frameworks (e.g., NVIDIA DOCA, BlueField SNAP) to accelerate storage virtualization (virtio-blk/virtio-fs offload) without building bespoke firmware from zero. Observability & Testing: Build monitoring and testing infrastructure specific to DPU-offloaded paths — this is new surface area for the team, and strong tooling here determines how fast we can safely iterate. Performance Benchmarking: Drive IOPS/throughput/latency benchmarking and quantify host-CPU-cycles-saved per offloaded operation, to make the case for where offload investment pays off next. Technical Point of Contact: Serve as the storage team's technical lead on DPU-related architecture decisions, including with hardware vendors. What You'll Bring to the Team: 10+ years of professional software engineering experience, with deep, hands-on systems-level programming (C, C++, or Rust) and production experience in Go, Java, or similar for control-plane/orchestration work. Direct, hands-on experience with SmartNICs/DPUs in