Senior Storage Systems Engineer

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.

At Crusoe, we are on a mission to align the future of computing with the future of the climate. As a Senior Storage Systems Engineer, you will be the primary operator of our high-performance data layer. This role focuses on the availability, scaling, and operational excellence of our all-flash storage ecosystems—specifically VAST Data or Pure Storage, ensuring they deliver the sub-millisecond latency required for world-class AI training and HPC workloads.

You will lead the day-to-day administration of our global storage footprint, serving as the subject matter expert for our flash-based platforms. Your work ensures that our sustainable GPU clusters have the reliable, high-throughput data backbone needed to power the AI revolution.

• Experience with Pure1 or VAST VMS/Insight for predictive analytics and capacity forecasting.

• Familiarity with Slurm or Kubernetes (CSI) integration with high-performance storage.

• Prior experience in a "Large Scale" environment (multi-petabyte footprints).