SpaceX is seeking a Senior AI Engineer, Platform Infrastructure, for Special Programs to design and build deployment tooling and collaborate with cleared engineers at classified sites. Your tooling must be deterministic, well-tested, and foolproof to support operators who cannot call for help. Responsibilities include designing and building the deployment generator, creating and maintaining platform documentation, building the bundle pipeline, and implementing profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection. You will also build and maintain the cross-profile CI matrix, develop the testing and validation framework, and integrate with the existing Supercompute team’s operators, Helm charts, and CRDs by leveraging their work as inputs to the generator without modifying production infrastructure. Own the monitoring stack migration and oversee the bare metal provisioning pipeline. Basic qualifications include a Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or related engineering discipline, and 5+ years of experience in Go and/or Python, as well as 5+ years of experience with Kubernetes or similar tooling for automating, developing, and scaling containerized applications. Preferred qualifications include the ability to obtain and maintain a Top Secret or Top Secret SCI clearance; experience building CI/CD pipelines (Buildkite, GitHub Actions, or equivalent); container image management; Infrastructure-as-Code (Pulumi or Terraform) and understanding of state

SpaceX is seeking a Senior AI Engineer, Platform Infrastructure, for Special Programs to design and build deployment tooling and collaborate with cleared engineers at classified sites. Your tooling must be deterministic, well-tested, and foolproof to support operators who cannot call for help. Responsibilities include designing and building the deployment generator, creating and maintaining platform documentation, building the bundle pipeline, and implementing profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets based on profile selection. You will also build and maintain the cross-profile CI matrix, develop the testing and validation framework, and integrate with the existing Supercompute team’s operators, Helm charts, and CRDs by leveraging their work as inputs to the generator without modifying production infrastructure. Own the monitoring stack migration and oversee the bare metal provisioning pipeline. Basic qualifications include a Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or related engineering discipline, and 5+ years of experience in Go and/or Python, as well as 5+ years of experience with Kubernetes or similar tooling for automating, developing, and scaling containerized applications. Preferred qualifications include the ability to obtain and maintain a Top Secret or Top Secret SCI clearance; experience building CI/CD pipelines (Buildkite, GitHub Actions, or equivalent); container image management; Infrastructure-as-Code (Pulumi or Terraform) and understanding of state