# Senior Automation Engineer, Compute

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

Canonical page: https://career.thegoodapps.co/jobs/559d1e99-3938-4405-b98f-b3afd017c395

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

- Seniority: Senior
- Location: San Francisco, CA
- Salary: 170000 – 205000 USD per year

## Summary

This role involves building CI/CD infrastructure and deployment automation for Crusoe's large-scale GPU cluster fleet across their AI cloud. You'll work on testing frameworks, configuration management, and orchestration systems that enable reliable releases across datacenters, requiring deep expertise in Linux, cloud infrastructure, and modern DevOps tooling.

_Our summary, not Crusoe's wording._

## Skills named

Ansible, Chef, CUDA, Docker, GitLab, Go, Kubernetes, Linux, Puppet, Python, SaltStack, Terraform

## Required

- 5+ years of experience with infrastructure automation and deployment
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related technical field
- Experience building automated integration testing from low-level Linux systems to distributed control planes
- Track record designing and deploying microservices end-to-end in distributed cloud environments
- Strong understanding of cloud resource abstraction (Compute, Network, Storage) in IaaS
- Knowledge of Kubernetes, Docker, Terraform, and Postgres
- Deep knowledge of CI/CD pipelines and Gitlab tooling
- Experience with at least 1-2 configuration management systems (Ansible, Puppet, Chef, or SaltStack)
- Knowledge of Linux kernel internals including PCIe topology, VFIO, and memory management

## Nice to have

- Familiarity with NVIDIA CUDA/NCCL or AMD ROCm/RCCL in multi-node contexts
- Understanding of RDMA, RoCE, and InfiniBand protocols in virtualized systems
- Experience with Multi-Node NVLink (MNNVL) or specialized AI fabric architectures
- Knowledge of hardware-level debugging tools and performance profilers (NVIDIA Nsight, AMD Omniperf)
- Experience with containerized GPU orchestration (Kubernetes with GPU device plugins)

Apply on Crusoe's site: https://jobs.ashbyhq.com/Crusoe/11cd72b6-4bb0-4e32-9d7d-6b5cb72cce37/application