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 Starshield, a critical national security satellite constellation. You'll manage large-scale AI clusters, automate on-premise Kubernetes deployments, and ensure high availability of core infrastructure serving Top Secret datacenters.
What you'll do
- Manage GPU/CPU infrastructure deployments to Top Secret datacenters and provide GPU-as-a-service support
- Design and productize solutions for AI clusters scaling to 100k+ GPUs
- Develop automation for on-premise Kubernetes, AI clusters, and operating system deployments
- Deploy and operate core infrastructure including databases, monitoring, and distributed storage
- Collaborate with AI engineers to build scalable, maintainable products with high availability
- Monitor, alert, and improve system reliability throughout the service lifecycle
What they're looking for
- Linux operating systems administration
- Infrastructure-as-code tools (Terraform, Ansible)
- Kubernetes cluster management and operations
- Container technologies (OCI, Docker)
- Python, Bash, C++, or Go scripting and development
- GPU deployment and management (NVIDIA Blackwell/Rubin preferred)
- Distributed databases and data modeling
- TCP/IP networking and system performance optimization
Benefits
- Competitive salary commensurate with experience level
- Work on critical national security missions
- Opportunity to scale infrastructure to unprecedented scales
- Collaborative environment with world-class engineers
- Global impact and innovation in AI infrastructure
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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 at scale—what challenges have you faced and how did you resolve them?
- Walk us through a time you designed infrastructure automation that significantly reduced deployment time or operational overhead.