About the 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 seeking a Senior Engineering Manager, Data Plane Systems to lead
the team responsible for high-performance SDN data planes across hosts and DPUs. In this hands-on senior leadership role, you will own the architecture, implementation, and production operation of a hardware-accelerated networking stack designed for large-scale GPU workloads. Unlike generic networking manager roles, this position focuses on delivering high-performance packet processing on aggressive timelines, often moving features from commit to production within days. What You'll Be Working On: Technical Ownership : You will define the roadmap for SDN data plane systems and lead the integration of DPUs (such as NVIDIA BlueField) and hardware accelerators. Architecture & Optimization : You will oversee the development of Linux kernel networking components, XDP/eBPF data paths, and DPDK-based fast paths while driving the migration of networking functions to hardware offload architectures. Production Execution : You will lead performance benchmarking, regression prevention, and incident response, ensuring operational excellence within 3-6 month execution cycles. People Leadership : You will mentor and grow a team of senior and staff-level systems engineers, setting technical standards and fostering a high-performance culture of accountability. Collaboration : You will partner closely with control-plane teams (OVN/OVS) to optimize throughput and latency for multi-tenant GPU clusters.v What You'll Bring to