Senior HPC Systems Engineer - AI Compute & Clusters

InvestedintheMission; Hawthorne (CA); On-site; USD 165,000 - 230,000; Full time

Benefits offered by this job

Stock options

Long-term incentives

Bonuses

Health, vision and dental coverage

401(k)

Paid parental leave

Paid vacation

Holidays

Employee discounts

Job summary

SpaceX in Hawthorne, California, seeks a Sr. HPC Systems Engineer to administer HPC clusters, storage, and high-speed networks across a world-class engineering org.

The role involves providing application support to SpaceX engineers, installing and integrating Linux compute clusters, and writing clear documentation for non-technical audiences. A BS in a STEM field and 5+ years in systems engineering is required, with expertise in Kubernetes and related tooling.

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

Automation scripting

Linux systems

Documentation

High-performance computing

Education

Bachelor's degree or higher

Tools

Docker

Podman

Singularity

Puppet

Ansible

Slurm

PBS

LSF

Prometheus

Grafana

Nagios

CUDA

Job description

SpaceX in Hawthorne, California, seeks a Sr. HPC Systems Engineer to administer HPC clusters, storage, and high-speed networks across a world-class engineering org.

The role involves providing application support to SpaceX engineers, installing and integrating Linux compute clusters, and writing clear documentation for non-technical audiences. A BS in a STEM field and 5+ years in systems engineering is required, with expertise in Kubernetes and related tooling.