C
$172,500 – $210,000
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 involves designing and maintaining automated testing frameworks for large-scale GPU clusters, with a focus on validating interconnect performance, distributed workload scaling, and multi-node stability in virtualized environments. It suits engineers with deep systems knowledge who enjoy working on low-level infrastructure challenges in a fast-moving AI compute company.
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
- 5+ years of experience in relevant role
- 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
- Working knowledge of Kubernetes, Docker, Terraform, and Postgres
- Advanced proficiency in Python and/or Bash
- Familiarity with NVIDIA CUDA/NCCL and/or AMD ROCm/RCCL stacks in multi-node context
- Strong understanding of RDMA, RoCE, and InfiniBand in virtualized systems
- Knowledge of Linux kernel internals, PCIe topology, VFIO, and memory management
Nice to have
- Experience with MNNVL or specialized AI fabric architectures
- Familiarity with hardware-level debugging tools and performance profilers like NVIDIA Nsight or AMD Omniperf
- Knowledge of containerized GPU orchestration with Kubernetes device plugins