About the role
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.
SITE RELIABILITY ENGINEER (HIGH PERFORMANCE COMPUTING)
SpaceX HPC is a shared compute platform used across the company — vehicle and structures simulation, machine learning, AI inference, and more. We support every program at SpaceX to design and operate the worlds most advanced rockets and satellites. This role exists to put a real Site Reliability Engineer operating model on these capabilities and accelerating the world class engineering at SpaceX: toil reduction, automation, observability, and a sustainable incident process.
We are looking for a Site Reliability Engineer who wants to own everything from Linux machines and our Infrastructure as Code, storage, and user facing applications – the whole ecosystem as a product, not as a ticket queue. You do not need a prior HPC title. You do need production instincts — you have operated real infrastructure, you write code to delete toil, and you care about whether users can actually get work done, not just whether nodes ping. You’ll work alongside HPC systems engineers who design and commission clusters to help make them more reliable and provide world class services for world class engineers.
Aerospace experience is not required. We value engineers who treat teammates with fairness and respect, who are self-critical, and who will take ownership of hard production problems.
RESPONSIBILITIES
Participate in the team's on-call rotation; practice sustainable incident response and blameless postmortems
Manage node lifecycle with infrastructure as code: OS images, firmware, configuration management, kernel and driver stack
Build observability for both HPC administrators and end users — cluster, node, and storage health for operators, and job/workflow-level signal for the people running work on the platform
Reduce toil with automation; split time between operating production systems and writing the software that makes that work smaller
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