Senior HPC Systems Engineer: Linux Clusters & AI Readiness

Future Ventures

Town of Texas (WI)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Job summary

SpaceX is seeking an HPC Systems Engineer to administer HPC clusters, storage, and high‑speed networks, providing Linux compute support across engineering teams. You will write documentation and collaborate to keep mission-critical systems secure and efficient.

The role requires 5+ years in systems engineering, strong Linux and virtualization skills, and experience with Kubernetes. This is a fast-paced environment with on-call and extended hours as needed.

Qualifications

  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of systems engineering experience; OR 7+ years of professional experience building software in lieu of a degree
  • 5+ years of hands-on experience with client and server hardware/software, management tools, enterprise networking, virtualization, and security technologies
  • Experience with Kubernetes

Responsibilities

  • Administer and manage HPC clusters, storage systems, and high-speed networks
  • Provide application support to SpaceX employees across engineering disciplines
  • Install and integrate Linux-based compute clusters
  • Write instructional documentation and convey highly technical ideas in non-technical terms

Skills

Kubernetes
Bash scripting
Python scripting
Linux system admin
Security technologies

Education

Bachelor's degree in computer science, engineering, math, or scientific discipline

Tools

Docker
Podman
Singularity
Puppet
Ansible
Prometheus
Grafana
Nagios
Slurm
PBS
LSF
CUDA

Job description

SpaceX is seeking an HPC Systems Engineer to administer HPC clusters, storage, and high‑speed networks, providing Linux compute support across engineering teams. You will write documentation and collaborate to keep mission-critical systems secure and efficient.

The role requires 5+ years in systems engineering, strong Linux and virtualization skills, and experience with Kubernetes. This is a fast-paced environment with on-call and extended hours as needed.

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