The opportunity
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.
What you'll do
CI/CD Automation and Tooling: Build CI/CD platforms that enable developers to quickly test, iterate, and deploy critical, low-level systems and applications.
Multi-Node Scaling Validation: Design and execute large-scale validation tests across multi-node virtualized clusters to ensure linear scaling and stability of GPU workloads.
Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.
Interconnect & Fabric Testing: Validate high-speed interconnects—including NVLink, Infinity Fabric, InfiniBand, and RoCE—within virtualized environments to ensure low-latency, high-bandwidth communication.
Collective Communication Benchmarking: Architect and run comprehensive test suites using nccl-tests and rccl-tests (e.g., AllReduce, AllGather) to verify performance across node boundaries.
Performance Bottleneck Analysis: Perform deep-dive analysis of regressions in CPU performance and multi-node communication, identifying root causes across the guest OS, hypervisor, and physical fabric.
What they're looking for
- Create automated test suites leveraging tools like fio, stress-ng, and iperf: to ensure performance and multi-tenant isolation of CPU and GPU hosts.
- Education & Experience: 5+ YOE demonstrated ability to competently and independently perform responsibilities plus Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience building and deploying automated integration testing for an AI: Cloud Environment, ranging from low-level Linux Systems up to Distributed Control Planes.
- Working knowledge of the modern infrastructure stack, including Kubernetes, Docker, Terraform, and Postgres.