AI Platform Infrastructure Engineer (Air-Gapped & Classified)

SpaceX; Washington (District of Columbia); On-site; USD 125,000 - 220,000; Full time

Benefits offered by this job

Stock options

Employee Stock Purchase Plan

Medical, vision and dental coverage

401(k) retirement plan

Paid parental leave

3 weeks paid vacation

10+ paid holidays per year

Sick leave

Job summary

SpaceX is seeking an AI Engineer, Platform Infrastructure, Special Programs in Washington, DC. You will build tooling for cleared engineers at classified sites, ensuring deterministic, well-tested deployments that engineers can rely on when onsite support is unavailable.

The role requires a Top Secret/NSO-compatible clearance, experience with Kubernetes, Go or Python, and building CI/CD pipelines. Expect extended hours and travel to government sites as needed.

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.

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.

Skills

Go

Python

Kubernetes

Education

Bachelor's degree

Tools

Buildkite

GitHub Actions

Job description

SpaceX is seeking an AI Engineer, Platform Infrastructure, Special Programs in Washington, DC. You will build tooling for cleared engineers at classified sites, ensuring deterministic, well-tested deployments that engineers can rely on when onsite support is unavailable.

The role requires a Top Secret/NSO-compatible clearance, experience with Kubernetes, Go or Python, and building CI/CD pipelines. Expect extended hours and travel to government sites as needed.