AI Infrastructure Engineer — GPU & On-Prem Kubernetes

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

Benefits offered by this job

Long‑term incentives

Stock options

Bonuses

Healthcare

401(k)

Paid vacation

Paid holidays

Shuttle service

Job summary

SpaceX is seeking a Software Engineer for AI Infrastructure (Starshield) in Redmond, WA. You will design, operate, and scale GPU-focused infrastructure to support critical national security missions, including on-premise clusters and related software products.

The role involves collaborating with AI engineers, building scalable automation, and advancing Kubernetes/AI infrastructure with a focus on reliability and performance. TS clearance is preferred or required to obtain.

Qualifications

• Bachelors degree in a technical field and 1+ years in SRE/DevOps or 3+ years in SRE/DevOps without a degree.
• 1+ years of Linux experience.
• Experience with Terraform, Ansible, or other infrastructure tools.
• Experience with containerization technologies (i.e. OCI containers, Kubernetes).
• Scripting in Bash, Python, or similar languages.
• Development experience in Python, C++, or Go.

Responsibilities

• Manage and provide support for GPU as a service on bare metal hardware 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 create scalable, maintainable products.
• Engage in the full lifecycle of services from inception to refinement.
• Monitor and alert supporting systems for high availability.
• Identify areas for improvement and create innovative solutions.

Skills

Linux

Terraform

Ansible

Kubernetes

Bash

Python

C++

Go

SRE/DevOps

Education

Bachelor's degree

Tools

OCI containers

Job description

SpaceX is seeking a Software Engineer for AI Infrastructure (Starshield) in Redmond, WA. You will design, operate, and scale GPU-focused infrastructure to support critical national security missions, including on-premise clusters and related software products.

The role involves collaborating with AI engineers, building scalable automation, and advancing Kubernetes/AI infrastructure with a focus on reliability and performance. TS clearance is preferred or required to obtain.