C
$250,000 – $300,000
Listed on Crusoe’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role automates deployment and testing for Crusoe's AI infrastructure, managing CI/CD pipelines and orchestration of large-scale GPU clusters across multiple datacenters. It suits deeply experienced infrastructure engineers who want to work on low-level systems automation at the cutting edge of AI compute.
Our summary, not Crusoe’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 12+ years of infrastructure or deployment automation experience
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Experience building automated integration testing for AI Cloud environments
- Working knowledge of Kubernetes, Docker, Terraform, and Postgres
- Deep knowledge of CI/CD pipelines and Gitlab
- Experience with at least one configuration management system (Ansible, Puppet, Chef, or SaltStack)
- Advanced proficiency in Python and/or Bash
- Knowledge of Linux kernel internals including PCIe topology, VFIO, and memory management
- Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in multi-node context
- Strong understanding of RDMA, RoCE, and InfiniBand protocols in virtualized systems
Nice to have
- Experience with MNNVL (Multi-Node NVLink) or specialized AI fabric architectures
- Familiarity with hardware-level debugging tools and performance profilers such as NVIDIA Nsight or AMD Omniperf
- Knowledge of containerized GPU orchestration with Kubernetes device plugins