Senior SRE: AI Infra & GPU Clusters

SpaceX; Washington (District of Columbia); On-site; USD 165,000 - 265,000; Full time

Job summary

SpaceX is seeking a Sr. Site Reliability Engineer for the Starshield program to design, operate, and scale on-premise GPU/CPU infrastructure and AI clusters.

You will develop automation to deploy Kubernetes and related OSes, deploy databases and monitoring, and collaborate with AI engineers to deliver reliable services. The role requires deep Linux and Kubernetes expertise, Terraform/Ansible experience, and the ability to lead a team toward technical excellence while enabling high availability

Qualifications

• Bachelor’s degree and 5+ years Linux or 7+ years software/DevOps/SRE in lieu of degree
• 5+ years Kubernetes experience
• 5+ years managing Linux operating systems
• Experience with Terraform, Ansible, or other infrastructure tools
• Experience with containerization technologies (OCI containers, Kubernetes)
• Scripting in Bash, Python, or similar languages
• Development experience in Python, C++, or Go

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret data centers
• 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
• Collaborate with AI engineers to create scalable, operable products
• Lead the lifecycle of services from inception to refinement
• Mentor and train junior engineers

Skills

Linux

Kubernetes

Terraform

Ansible

Bash

Python

C++

Go

Networking

Cloud

Education

Bachelor's degree in CS/IT or engineering

Tools

Docker

OCI containers

NVIDIA GPU deployment stacks

Job description

SpaceX is seeking a Sr. Site Reliability Engineer for the Starshield program to design, operate, and scale on-premise GPU/CPU infrastructure and AI clusters.

You will develop automation to deploy Kubernetes and related OSes, deploy databases and monitoring, and collaborate with AI engineers to deliver reliable services. The role requires deep Linux and Kubernetes expertise, Terraform/Ansible experience, and the ability to lead a team toward technical excellence while enabling high availability