CrusoeVerified Source

Principal Systems Software Engineer Crusoe

260K–340K
Onsite · San Francisco, California
Posted August 8, 2026
payroll

Overview

Crusoe seeks a Principal Systems Software Engineer to lead the visionary development of next-generation AI infrastructure. This role involves bridging silicon and software to unify Bare-Metal-as-a-Service Intelligent IaaS and Elastic CaaS into a high-performance pool of intelligence. The ideal candidate thrives in a fast-paced environment and drives massive-scale training workloads to hardware limits.

What You'll Do11

  • 1Architect systems delivering raw GPU throughput via zero-latency InfiniBand/RDMA fabrics for massive-scale training
  • 2Design thin virtualization layers using KVM or micro-VMs to eliminate virtualization tax
  • 3Build a high-performance container substrate utilizing Kubernetes or Slurm for elastic AI workloads
  • 4Lead architectural design of internal cloud fabric focusing on SR-IOV RDMA and virtualized GPU scheduling
  • 5Prototype and productionize novel memory networking compute management methods
  • 6Draft white papers and RFCs defining compute and networking stack for two years
  • 7Debug complex race conditions in I/O path and optimize kernel-level memory pinning
  • 8Represent Crusoe in open-source communities shaping global cloud-native AI infrastructure direction
  • 9Author authoritative knowledge of Linux kernel virtualization internals and high-performance networking
  • 10Design software maximizing NVIDIA/AMD GPU and NIC performance
  • 11Lead cross-functional teams delivering production-ready mission-critical systems

Requirements11

  • 1Hyperscale provenance with 12+ years designing core infrastructure at major hyperscaler or HPC cloud
  • 2Deep systems authority over Linux kernel virtualization KVM QEMU Firecracker RoCE v2 InfiniBand
  • 3Hardware-software co-design expertise for GPU/NIC performance optimization
  • 4R&D leadership delivering cross-functional teams through ambiguous projects
  • 5Significant contributions to patents open-source projects or published research in distributed systems
  • 6Bachelor's or Master's in CS Computer Engineering or related field
  • 7Patent holder for network virtualization GPU scheduling or distributed file systems
  • 8Open Source leadership maintaining Linux Kernel Kubernetes or HPC project
  • 9AI/ML workload expertise optimizing LLM training and inference at scale
  • 10Peer-reviewed publications at top systems venues or industry white papers on networking systems
  • 11Experience with commuter benefits parking transit cell phone stipend

Salary Insight

$260 - $340k per year

Location

Typeonsite
LocationSan Francisco, California

Required Skills

Linux kernelKVMQEMUFirecrackerRDMAInfiniBandSR-IOVGPU schedulingKubernetes
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