# Senior Staff Deployment Automation Engineer

Hiring organization: [Crusoe](https://career.thegoodapps.co/organizations/crusoe)

Canonical page: https://career.thegoodapps.co/jobs/e7a9097f-cdf6-4c60-803e-d67954864441

Listed on Crusoe's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: San Francisco, CA
- Salary: 250000 – 300000 USD per year

## Summary

This role automates deployment and testing for Crusoe's AI infrastructure, managing CI/CD pipelines and orchestration of large-scale GPU clusters across multiple datacenters. It suits deeply experienced infrastructure engineers who want to work on low-level systems automation at the cutting edge of AI compute.

_Our summary, not Crusoe's wording._

## Skills named

Ansible, Bash (Scripting), Chef, CUDA, Docker, GitLab, Kubernetes, Linux Kernel, Puppet, Python, SaltStack, Terraform

## Required

- 12+ years of infrastructure or deployment automation experience
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- Experience building automated integration testing for AI Cloud environments
- Working knowledge of Kubernetes, Docker, Terraform, and Postgres
- Deep knowledge of CI/CD pipelines and Gitlab
- Experience with at least one configuration management system (Ansible, Puppet, Chef, or SaltStack)
- 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 context
- 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 and performance profilers such as NVIDIA Nsight or AMD Omniperf
- Knowledge of containerized GPU orchestration with Kubernetes device plugins

Apply on Crusoe's site: https://jobs.ashbyhq.com/Crusoe/ab5a5395-5480-4731-9053-3906b0f92f23/application