Senior Staff Linux Kernel 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.

You will set the technical direction for Crusoe's Linux kernel team, owning the roadmap and architecting critical development projects. This role requires a balance of high-level architectural design and hands-on kernel coding. You will tackle the most complex kernel problems while mentoring and growing the engineers around you to deliver production-ready infrastructure at scale.

• 10+ years of experience in systems software engineering with at least 3 years in a technical leadership role managing low-level systems or infrastructure teams.

• Expert-level knowledge of Linux kernel internals (memory management, scheduler, I/O) and virtualization technologies (KVM, Xen, or QEMU).

• Strong C programming skills and fluency with the kernel development workflow, including patch submission and debugging security vulnerabilities.

• Proficiency in modern systems programming (Go, Rust, or Python) and familiarity with CI/CD and deployment automation tooling.

• Familiarity with accelerators (GPUs, TPUs) and related technologies like CUDA or ROCm.

• Experience with high-performance networking (e.g., InfiniBand, RoCE) and tuning virtualization stacks for HPC workloads.