← All roles

Senior Staff Automation Engineer

Crusoe· Cloud Engineering
Apply on company site
San Francisco, CA - US, Sunnyvale, CA - US, Bellevue, WA - US$250k - $300k + equityFull-timePosted 2mo ago

About the role

Senior Staff Automation Engineer responsible for deployment and testing automation of large-scale, multi-node GPU clusters, owning CI/CD infrastructure and integration testing for Crusoe's AI Cloud across on-site datacenters.

Responsibilities

  • Deployment and Integration Testing Ownership: Completely own deployment and integration testing automation for all bare-metal, on-premise systems across Crusoe’s AI Cloud Stack.
  • 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.
  • Configuration Management and Observability: Maintain and scale bare-metal Linux configurations using a mix of custom and off the shelf tooling such as Gitlab, Ansible, AWX, osquery, etc.
  • Deployment Orchestration: Create control applications to coordinate canary deployments on live production systems, run Blue/Green testing, and perform automatic rollback where necessary.
  • Cluster Orchestration: Develop and maintain automation frameworks in Python or Go to dynamically provision, configure, and stress-test multi-node virtualized environments.
  • Create automated test suites leveraging tools like fio, stress-ng, and iperf to ensure performance and multi-tenant isolation of CPU and GPU hosts.

Qualifications

  • 12+ 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.
  • CI/CD & Gitlab: Intimate knowledge of CI/CD pipelines and Gitlab Tooling to enable stable infrastructure releases across multiple datacenters.
  • Configuration Management: Previous experience with at least 1-2 configuration management systems, including Ansible, Puppet, Chef, or SaltStack.
  • Automation & Scripting: Advanced proficiency in Python and/or Bash for automating complex cluster-wide test scenarios.
  • System Internals: Knowledge of Linux kernel internals, specifically PCIe topology, VFIO, and memory management (HugePages, IOMMU).
  • Distributed GPU Ecosystems: Familiarity with NVIDIA (CUDA/NCCL) and/or AMD (ROCm/RCCL) stacks in a multi-node context.
  • Networking Knowledge: Strong understanding of RDMA, RoCE, and InfiniBand protocols and their implementation in virtualized systems.

Skills

Required:12+ years of experience in automation engineeringCI/CDGitlabPythonBashLinux kernel internalsKubernetes
Nice to have:GoNVIDIA CUDA/NCCL

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Crusoe

The AI factory company | Renewable-powered AI infrastructure

Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support.

AI infrastructureData centersEdge computingGPU computingRenewable energycloud computeenergy-first approachsetter-30
Company profileWebsite

More open roles at Crusoe