Senior Staff Linux Kernel EngineerNew$250K–$300K

The opportunity

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.

What you'll do

  • Virtualization Architecture: 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.

  • Linux Kernel & Driver Development: Develop and maintain upstream-first kernel code and device drivers. You will optimize memory management, scheduling, and I/O subsystems proactively to support hardware accelerators and high-throughput compute use cases.

  • Debugging & Security: 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.

  • Leadership: Lead and grow a high-performing systems team. You will drive: engineering excellence through technical mentorship, comprehensive code reviews, and alignment with product and hardware teams.

  • + 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).

What they're looking for

  • 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.