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High Performance Computing Systems Specialist

1 month ago


Hawthorne, California, United States SPACE EXPLORATION TECHNOLOGIES CORP Full time
Space Exploration Technologies Corp Job Description

About the Role

We are seeking a highly skilled HPC Systems Engineer to join our team at Space Exploration Technologies Corp. As an HPC Systems Engineer, you will play a critical role in administering and managing our high-performance computing clusters, storage systems, and high-speed networks.



Salary and Benefits

The estimated salary for this position is $120,000-$160,000 per year. In addition to your base salary, you may also be eligible for long-term incentives, such as company stock, stock options, or long-term cash awards. Our comprehensive benefits package includes medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks.



Job 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.


Required Skills and Qualifications

To be successful in this role, you should have:

  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree.
  • Experience with Linux.
  • Experience with client and server hardware/software, management tools, enterprise networking, virtualization, and security technologies.
  • Active Top Secret security clearance with SCI eligibility.


Preferred Skills and Experience

Prior experience with:

  • Linux system administration.
  • Scripting languages (Bash, Python).
  • HPC cluster management.
  • Cluster resource managers (Slurm, PBS, LSF).
  • Monitoring and alerting technologies (Prometheus, Grafana, Nagios).
  • Scientific and engineering computing (CFD, FEA).
  • ML frameworks (PyTorch, Tensorflow).
  • GPU usage in a compute cluster and Cuda.
  • Containerization (Docker, Podman, Singularity).
  • Automated configuration management software (Puppet, Ansible).