AI Infrastructure Engineer – GPU & On-Prem

InvestedintheMission; Hawthorne (CA); On-site; USD 125,000 - 195,000; Full time

Job summary

SpaceX is hiring a Software Engineer for AI infrastructure in the Starshield program, focusing on on-premise GPU/CPU platforms, Kubernetes clusters, and automation for large-scale AI deployments.

Role requires Linux, Terraform/Ansible, and Python/C++/Go development skills, with TS/SCI or DOE clearance preferred. Extensive collaboration across engineering teams and travel may be required.

Qualifications

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

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret data centers.
• Provide support for GPU as a service on bare metal and virtualized platforms.
• Design, validate, and productize AI cluster solutions (100k+ GPU scale).
• Develop automation to deploy and manage on-premise Kubernetes/AI clusters and OSes.
• Deploy and manage core infrastructure such as databases, monitoring, and storage.
• Collaborate with AI engineers to build scalable, operable products.
• Improve lifecycle of services from design to operation and refinement.
• Maintain high availability through monitoring and alerts.
• Identify improvement opportunities and create innovative solutions.

Skills

Linux

Python

C++

Go

Bash

Security clearance

Education

Bachelor’s degree in CS or related field

Engineering discipline background

Tools

Terraform

Ansible

Kubernetes

OCI containers

Bazel/Makefiles

Docker

Job description

SpaceX is hiring a Software Engineer for AI infrastructure in the Starshield program, focusing on on-premise GPU/CPU platforms, Kubernetes clusters, and automation for large-scale AI deployments.

Role requires Linux, Terraform/Ansible, and Python/C++/Go development skills, with TS/SCI or DOE clearance preferred. Extensive collaboration across engineering teams and travel may be required.