SpaceX The AI Engineer at SpaceX Special Programs builds tooling for supercomputing deployments in classified environments. The role requires designing deployment generators, building CI/CD pipelines, and maintaining infrastructure automation.
Responsibilities
Design and build the deployment generator.
Create and maintain platform documentation.
Build the bundle pipeline.
Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection.
Build and maintain the cross-profile CI matrix.
Build the testing and validation framework.
Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.
Own the monitoring stack migration.
Qualification
Bachelor's degree in computer scienceUnderstanding of Linux systemsFamiliarity with GPU infrastructureExperience with PXE boot
Required
Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline.
1+ years of experience in Go Lang and/or Python.
1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications.
Preferred
Ability to obtain and maintain a Top Secret or Top Secret SCI clearance.
Experience building CI/CD pipelines and deployment automation (Buildkite, GitHub Actions, or equivalent).
Familiarity with container image management.
Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs.
Understanding of Linux systems.
Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged.
Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking.
Experience with PXE boot, cloud-init, squashfs, or other bare metal provisioning technologies.
