Senior Director, Network Engineering

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.

Crusoe is building the network backbone for one of the largest AI compute platforms in the world. As Senior Director of Network Engineering, you will own the architecture, scale, and operation of the network that connects our GPU fleet and powers large-scale AI training and inference. You will lead a 40-person engineering organization —including 8 direct reports, mostly managers — set multi-year technical direction, and partner across compute, storage, security, and data center teams to keep our infrastructure fast, reliable, and ready for the next order of magnitude of growth. This role requires a leader who builds methodically, communicates with transparency, and drives results by deciding what matters most — not just building everything at once.

• Setting and driving the multi-year strategy and roadmap for Crusoe's network services across data center and cloud

• Building, leading, and growing a team of network software engineers and architects focused on performance, reliability, and automation

• Prioritizing ruthlessly across competing demands — determining what to build, what to defer, and communicating the reasoning clearly to engineering leadership and cross-functional partners

• Architecting high-scale routing and segmentation using BGP, EVPN, VXLAN, and software-defined networking across a distributed, multi-region footprint

• Optimizing east-west and north-south traffic to support AI/ML training, distributed compute, and demanding customer workloads

• Owning network uptime and performance end to end, including proactive monitoring, incident response, and root-cause analysis

• Partnering with security to implement network segmentation, DDoS mitigation, and compliance with data-sovereignty and privacy requirements

• 15+ years engineering and operating network services, with 8+ years leading network teams at a cloud provider, hyperscaler, or high-growth infrastructure company

• Deep command of software-defined networking, white box switches, routing, switching, fabric architecture, TCP/IP, Ethernet, QoS, and BGP

• Proven track record scaling data center and cloud networks for high-throughput, high-availability workloads

• Hands-on experience with automation frameworks such as Ansible and

• Terraform, and a bias toward automating provisioning and operations

• A leadership style built on transparency–you communicate how your team is working, what's on track, and what's at risk without being asked

• Results-driven and self-motivated, with the ability to drive building cloud networking software while staying technically credible with the engineers you lead

• Clear strategic judgment paired with the discipline to build methodically rather than chase every problem at once

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field

• Experience offloading network services into smart NICs or working with programmable fabrics

• Familiarity with Kubernetes networking, overlay networks, and service meshes

• Experience building networks for GPU-dense or AI-specific environments

• Active collaboration with open-source networking communities