Staff Production Engineer (Compute)

Join Crusoe Energy Systems, a company dedicated to building sustainable, AI-first cloud infrastructure. As a Staff Production Engineer (Compute), you will play a crucial role in supporting and optimizing our compute infrastructure, focusing on virtualization, hypervisor, and kernel-level performance. You will develop automation and observability tools, support and scale our virtualization stack, and optimize performance for AI and HPC workloads. This role offers comprehensive health benefits, paid time off, a 401(k) matching program, and resources for mental wellness.

• Supporting virtualization, hypervisor, and kernel-level performance for Crusoe’s compute infrastructure.
• Developing automation and observability tools to monitor Crusoe’s compute infrastructure, spanning from the kernel to orchestration layers.
• Optimizing performance for AI and HPC workloads across CPU, GPU, and DPU/NIC resources, and participating in root cause analysis for kernel crashes.

• Expert-level skills in at least one programming language: Go, C or Rust
• 8+ years of professional experience in Compute SRE, Linux system engineering, or compute infrastructure roles
• Strong understanding of compute scheduling, resource management, and high-throughput networking
• Familiarity with SmartNICs/DPUs (e.g., NVIDIA CX6/7, BlueField-3) and kernel bypass techniques
• Experience with virtualization architectures and technologies such as KVM, Xen, QEMU, or VMware
• Experience with system-level debugging, including kdump, kexec, and kernel panic analysis
• Strong proficiency in Linux kernel internals, with exposure to scheduler, memory allocation, and driver subsystems
• Proficiency in Infrastructure as Code tooling and CI/CD practices for bare-metal or cloud infrastructure
• Contributions to Linux kernel, KVM, or other low-level infrastructure projects
• Exposure to AI model infrastructure and workload orchestration across GPU clusters
• Experience porting or maintaining custom Linux distributions or kernels for specific platforms