SRE: AI GPU Infrastructure for Starshield

SpaceX; Redmond (WA); On-site; USD 125,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental coverage

401(k) plan

Disability insurance

Life insurance

Parental leave

Employee stock purchase plan

Employee discounts

Job summary

SpaceX is seeking an experienced Site Reliability Engineer to design, operate, and scale on-premise GPU/CPU infrastructure for the Starshield program. You will deploy AI clusters at Very large scale and build automation to manage Kubernetes-based systems and OS environments.

You will collaborate with AI teams to deliver highly scalable and maintainable software products while ensuring high availability and secure access to classified environments.

Qualifications

• Bachelor's degree or 3+ years of professional SRE/DevOps experience
• 1+ years of professional Linux experience
• Experience with infrastructure tools (Terraform, Ansible)
• Experience with containerization (Kubernetes) and OCI containers
• Scripting experience in Bash and Python; development in Python/C++/Go

Responsibilities

• Manage GPU/CPU infrastructure deployments to Top Secret datacenters
• Provide GPU-as-a-service for external customers on bare metal and virtualized platforms
• Design, validate and productize AI cluster solutions (100k+ GPUs)
• Develop automation for on-premise Kubernetes/AI clusters and OS management
• Deploy and manage core infrastructure (databases, monitoring, storage)
• Collaborate with AI engineers on scalable, operable products
• Oversee full lifecycle of services from design to deployment and refinement
• Implement monitoring/alerting for high availability
• Identify improvements and create innovative solutions for reliability

Skills

Linux

Terraform

Ansible

Kubernetes

Python

Go

C++

Bash

Top Secret clearance

TCP/IP networking

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Ansible

Kubernetes

Job description

SpaceX is seeking an experienced Site Reliability Engineer to design, operate, and scale on-premise GPU/CPU infrastructure for the Starshield program. You will deploy AI clusters at Very large scale and build automation to manage Kubernetes-based systems and OS environments.

You will collaborate with AI teams to deliver highly scalable and maintainable software products while ensuring high availability and secure access to classified environments.