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.

About the role

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.

What You’ll Be Working On:

• Perform deep-dive root-cause analysis of issues across the OS and hardware layers. You will lead the triage and backporting for kernel CVEs while building automated tooling for vulnerability analysis.

• Architect and lead critical projects — new kernel features, security patching infrastructure, deployment systems — from design through production and upstream.

• Develop kernel code with an upstream-first mindset — we aim to contribute all changes to the Linux kernel community and keep our downstream patches zero; this is a core part of how the team works, not an afterthought

• Develop and review kernel code: memory management, scheduler, networking, storage, and GPU-related subsystems

• Design and implement advanced virtualization technologies tailored for GPU-accelerated AI and HPC workloads. You will optimize the stack for low latency and high scalability across hypervisors and device emulation.

• Find and develop kernel efficiency improvements proactively (e.g., DAMON-based memory management, hugepage optimization, memory overcommit)

• Mentor and review work from mid-level and junior engineers