Senior Engineering Manager, Compute

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.

San Francisco, Sunnyvale (On-site)

At Crusoe, we are on a mission to align the future of computing with the future of the climate. As a Senior Engineering Manager on the Compute Team, you will lead the engineers responsible for our vertically integrated AI cloud. This team sits at the intersection of high-performance hardware and cloud-native software, ensuring that our GPU clusters—powered by stranded and renewable energy—deliver world-class performance and reliability for the world’s most demanding AI and HPC workloads.

You will manage a high-caliber team of systems and software engineers focused on virtualization, bare-metal provisioning, kernel-level optimization, VM as a Service, and Cloud Hypervisor Development, Open Source contributions. As we look to rapidly scale, your team’s code directly impacts the performance-per-dollar for the world’s leading AI Enterprises. You are building a leaner, faster, and more specialized cloud from the ground up. Your leadership will directly influence how Fortune 500 companies and leading AI researchers access sustainable, hyperscale compute power.

• Experience at a major Cloud Service Provider (CSP) or in a high-scale AI infrastructure company.

• Familiarity with GPU-based workloads, InfiniBand, or RoCE networking.

• Contributions to open-source projects in the Linux kernel or virtualization space.