SpaceX
Site Reliability Engineer, AI Infrastructure (Starshield)
About this role
SpaceX seeks a Site Reliability Engineer to design, deploy, and operate GPU/CPU infrastructure supporting the Starshield national security satellite constellation. You'll manage large-scale AI clusters, automate on-premise Kubernetes deployments, and collaborate with AI teams to build highly available, scalable systems.
What you'll do
- Manage GPU/CPU infrastructure deployments to Top Secret data centers and operate GPU-as-a-service for external customers
- Design and productize solutions for massive AI clusters scaling to 100k+ GPUs
- Develop automation for on-premise Kubernetes/AI cluster and operating system deployments
- Deploy and manage core infrastructure including databases, monitoring, and distributed storage
- Partner with AI engineers to create scalable, maintainable products with high availability
- Monitor systems, implement alerting, and identify improvements throughout service lifecycle
What they're looking for
- Linux operating systems administration
- Terraform, Ansible, or similar infrastructure-as-code tools
- Kubernetes cluster management and container technologies (OCI)
- Python, C++, or Go development
- Bash and Python scripting
- TCP/IP networking and distributed database knowledge
- CI/CD, build systems (Bazel, Make), and performance optimization
- NVIDIA GPU deployment stacks (Blackwell/Rubin) experience
Benefits
- Competitive base salary ($125,000–$195,000 depending on level)
- Work on critical national security infrastructure at scale
- Direct collaboration with world-class AI and systems engineers
- Opportunity to shape next-generation satellite constellation operations
- Involvement across full service lifecycle from design to refinement
- Support for Top Secret clearance acquisition and maintenance
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SpaceX
SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.
- Website
- spacex.com
Likely interview questions
- Describe your experience managing Kubernetes clusters in production—what challenges did you face and how did you solve them?
- Tell us about a time you automated infrastructure deployments at scale; what tools did you use and what was the impact?