Senior SRE: AI Infra & GPU Clusters

SpaceX; Washington; On-site; USD 165,000 - 265,000; Full time

Job summary

SpaceX is hiring a Senior Site Reliability Engineer for Starshield to design, operate, and scale GPU/CPU infrastructure in secure data centers. You will develop automation for on-prem Kubernetes/AI clusters and collaborate with AI teams to deliver scalable, maintainable software products.

You will mentor engineers, ensure high availability, and guide system design with an emphasis on reliability and performance in a defense-related program.

Qualifications

• Bachelor’s degree in computer science, information systems/IT, or engineering with 5+ years on Linux OR 7+ years in software/DevOps/SRE without a degree.
• 5+ years of Kubernetes experience.
• 5+ years of Linux OS experience.
• Experience with Terraform, Ansible, or other infrastructure tools.
• Experience with containerization (OCI, 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.
• Provide GPU-as-a-service support on bare metal and virtualized platforms.
• Design, validate, and productize AI cluster solutions (100k+ GPU).
• Develop automation to deploy and manage on-prem Kubernetes/AI clusters and OSes.
• Deploy and manage core infra: databases, monitoring, storage.
• Collaborate with AI engineers to build scalable, operable products.
• Lead lifecycle from design to deployment and refinement.
• Ensure high availability through monitoring and alerting.
• Identify improvements and implement innovative solutions.
• Mentor and train junior engineers.

Skills

Kubernetes

Linux

Terraform

Ansible

Containerization

Python

Go/C++

Bash scripting

DevOps

Education

Bachelor's degree in Computer Science or related field

7+ years experience in lieu of degree

Tools

Kubernetes

Terraform

Ansible

Job description

SpaceX is hiring a Senior Site Reliability Engineer for Starshield to design, operate, and scale GPU/CPU infrastructure in secure data centers. You will develop automation for on-prem Kubernetes/AI clusters and collaborate with AI teams to deliver scalable, maintainable software products.

You will mentor engineers, ensure high availability, and guide system design with an emphasis on reliability and performance in a defense-related program.