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 leads the design and implementation of CI/CD infrastructure and deployment automation for Crusoe's GPU cluster fleet, ensuring stability across bare-metal systems in data centers. It suits experienced infrastructure engineers who thrive building low-level automation frameworks and testing systems at scale.
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 automation engineering experience
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Experience building and deploying automated integration testing for AI cloud environments
- Intimate knowledge of CI/CD pipelines and Gitlab tooling
- 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 contexts
- 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 like NVIDIA Nsight or AMD Omniperf
- Knowledge of containerized orchestration for GPUs with specialized device plugins