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Crusoe

Automated Testing Engineer, Compute

San Francisco, CA - USfulltimemidAdded today

About this role

Crusoe seeks an Automated Testing Engineer to validate large-scale, multi-node GPU clusters and distributed AI workloads. You'll design and execute comprehensive testing frameworks for high-performance interconnects, cluster orchestration, and performance benchmarking across virtualized environments.

What you'll do

  • Build and maintain CI/CD platforms enabling rapid testing and deployment of low-level infrastructure systems
  • Design large-scale validation tests across multi-node GPU clusters to ensure linear scaling and stability
  • Develop automation frameworks in Python or Go to provision, configure, and stress-test virtualized environments
  • Validate high-speed interconnects (NVLink, InfiniBand, RoCE) and benchmark collective communication using nccl-tests and rccl-tests
  • Perform regression analysis and root-cause diagnosis of performance bottlenecks across OS, hypervisor, and physical fabric
  • Create automated test suites using fio, stress-ng, and iperf to verify performance and multi-tenant isolation

What they're looking for

  • Python and Bash scripting for test automation
  • CI/CD pipelines and GitLab tooling
  • Kubernetes, Docker, Terraform, and Postgres
  • NVIDIA CUDA/NCCL and AMD ROCm/RCCL ecosystems
  • RDMA, RoCE, and InfiniBand networking protocols
  • Linux kernel internals (PCIe, VFIO, memory management)
  • Performance profiling and benchmarking tools
  • Distributed systems and multi-node cluster testing
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Crusoe

Crusoe builds AI infrastructure and data center systems, including cloud platforms, modular facilities, and manufacturing operations. The company is hiring engineers across software, mechanical engineering, facilities management, instrumentation, and CNC programming to design, optimize, and operate its mission-critical infrastructure.

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Likely interview questions

  • Walk us through your experience building automated integration tests for distributed GPU clusters—what were the biggest challenges?
  • How would you approach designing a test suite to validate NVLink performance regressions across a multi-node virtualized environment?
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