Sr. Computing; HPC) Systems Engineer

Position: Sr. High Performance Computing (HPC) Systems Engineer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SR. HIGH PERFORMANCE COMPUTING (HPC) SYSTEMS ENGINEER SpaceX is looking for an HPC Systems Engineer with strong knowledge and experience in a world class engineering organization. This employee will be a member of the HPC team and will support SpaceX personnel and proprietary systems. The ideal candidate will be flexible and flourish in a fast paced and challenging environment. They should be a self-starter, self-motivator and possess ingenuity to excel at this position.

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

BASIC 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 degree5+ years of hands-on experience with client and server hardware/software, management tools, enterprise networking, virtualization, and security technologiesPREFERRED

SKILLS AND EXPERIENCE:

5+ years of professional experience building, deploying and troubleshooting Linux systems

Experience with a scripting language (Bash, Python) to automate and solve reoccurring tasks

Experience building, deploying and troubleshooting HPC clusters

Familiarity with cluster resource managers (Slurm, PBS, LSF)

Experience with monitoring and alerting technologies (Prometheus, Grafana, Nagios)
Familiarity with scientific and engineering computing (CFD, FEA)
Familiarity with large scale AI training

Familiarity with GPU usage in a compute cluster and Cuda

Experience with containers (Docker, Podman, Singularity)
Experience deploying and maintaining automated configuration management software (Puppet, Ansible)
Comfortable working with mission critical and sensitive systems, with a sense of urgency appropriate to the responsibilities

Eligibility for access to classified material up to TS/SCI with Polygraph

Experience with Kubernetes

ADDITIONAL REQUIREMENTS:

Must be willing to work extended hours and weekends as needed COMPENSATION AND BENEFITS:
Pay Range:
Level 3: $ - $Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package  may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive 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.

You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

ITAR REQUIREMENTS:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv)…