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Crusoe

Builds AI data centers near cheap energy

Principal Systems Software Architect

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$260k - $340kIn-person

About the Job

Requirements

  • At least 12 years of experience designing and shipping core infrastructure at a major hyperscaler or specialized high-performance computing cloud.
  • Authoritative knowledge of the Linux kernel, virtualization internals including KVM, QEMU, and Firecracker, and high-performance networking including RoCE v2 and InfiniBand.
  • Ability to design software that maximizes the performance of NVIDIA or AMD GPUs and high-speed network interface cards.
  • Experience leading cross-functional teams through high-ambiguity projects and delivering production-ready, mission-critical systems.
  • A portfolio of significant contributions to distributed systems, which may include patents, major open-source contributions, or published research.
  • Ability to explain memory-mapped I/O to engineers and the business value of fabric architecture to executive audiences.
  • A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related analytical field, or equivalent professional experience.

Responsibilities

  • Architect systems that deliver raw GPU throughput through zero-latency InfiniBand or RDMA fabrics for large-scale training.
  • Design optimized, thin virtualization layers using KVM or custom micro-virtual machines to provide enterprise-grade isolation with minimal virtualization overhead.
  • Build a high-performance container substrate using Kubernetes or Slurm to scale AI workloads across heterogeneous GPU nodes.
  • Lead the architectural design of the internal cloud fabric and drive the technical roadmap for SR-IOV, RDMA, and virtualized GPU scheduling.
  • Lead workstreams to prototype and productionize novel approaches to managing memory, networking, and compute.
  • Draft white papers and RFCs defining the next two years of the compute and networking stack.
  • Work with Staff and Senior engineers to resolve complex I/O-path race conditions and optimize kernel-level memory pinning for GPU clusters.
  • Represent Crusoe in open-source communities and industry forums to influence cloud-native AI infrastructure.

Desired Qualifications

  • Patents related to network virtualization, GPU scheduling, or distributed file systems.
  • Maintainer status or significant contributions to the Linux kernel, Kubernetes, or specialized high-performance computing projects.
  • Direct experience optimizing infrastructure for large language model training and inference at scale.
  • Peer-reviewed publications at leading systems venues, patents, or IETF RFCs.
  • Significant open-source contributions or industry white papers on distributed systems, high-performance networking, or AI infrastructure.

About the Company

Crusoe

Builds AI data centers near cheap energy

Crusoe builds and runs data centers for artificial intelligence, placing them near cheap or otherwise wasted energy and handling everything from the power supply to the cloud software. It developed the flagship campus in Abilene, Texas, for Stargate, the AI infrastructure project backed by OpenAI and Oracle. AI companies rent its GPU servers on demand or under longer contracts through Crusoe Cloud to train and run their models, while larger customers lease entire campuses that Crusoe develops and operates for them. The company was founded in 2018, when it began running computers at oil fields on natural gas that would otherwise have been burned off, and it is based in Denver.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$14.5B
Headquarters
Denver, CO
Founded
2018

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