SRE: AI Infrastructure & GPU Platform Engineer

SPACE EXPLORATION TECHNOLOGIES CORP; Hawthorne (CA); On-site; USD 125,000 - 195,000; Full time

Job summary

SpaceX in Hawthorne, CA, seeks an experienced Site Reliability Engineer for Starshield to design, operate and scale GPU-enabled infrastructure supporting national security missions. Role emphasizes automation, on-prem Kubernetes/AI clusters, and collaboration with AI engineers.

The team focuses on high availability, on-prem compute resources, and scalable software products across GPU clusters, databases, and monitoring systems.

Qualifications

• Bachelor’s degree in computer science, information systems/IT, or an engineering discipline with 1+ years of SRE/DevOps, or 3+ years of SRE/DevOps in lieu of a degree.
• 1+ years of professional experience with Linux operating systems.
• Experience with Terraform, Ansible, or other infrastructure tools.
• Experience with containerization technologies (Kubernetes) and OCI containers.
• Scripting in Bash, Python, or other similar languages.
• Development experience in Python, C++, or Go.

Responsibilities

• Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms
• Design, validate, and productize solutions for AI clusters (100k+ GPU scale)
• Develop automation to deploy and manage on-premise Kubernetes/AI clusters, and operating systems
• Deploy and manage core infrastructure such as databases, monitoring and distributed storage
• Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products
• Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement

Skills

Linux

Scripting (Bash, Python)

Python development

C++ development

Go development

DevOps/SRE

Education

Bachelor's degree in CS/IT/Engineering

Tools

Terraform

Ansible

Kubernetes

Docker

Bazel

Makefiles

Job description

SpaceX in Hawthorne, CA, seeks an experienced Site Reliability Engineer for Starshield to design, operate and scale GPU-enabled infrastructure supporting national security missions. Role emphasizes automation, on-prem Kubernetes/AI clusters, and collaboration with AI engineers.

The team focuses on high availability, on-prem compute resources, and scalable software products across GPU clusters, databases, and monitoring systems.