The posting, in SpaceX's own words
archived Oct 6, 2026SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. AI ENGINEER, SUPERCOMPUTING, SPECIAL PROGRAMS - TOP SECRET CLEARANCE As an AI Engineer on Special Programs Supercomputing you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well-tested, and foolproof.
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.
Read the full posting ↓
BASIC QUALIFICATIONS:
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 SKILLS AND EXPERIENCE:
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. Own the bare metal provisioning pipeline.