Senior AI Engineer, Supercomputing & Secure Tooling

Starlink

Palo Alto (CA)

On-site

USD 220,000 - 350,000

Full time

14 days+

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Job summary

SpaceX is seeking a Sr. AI Engineer to join Special Programs Supercomputing. You will design tooling and collaborate with cleared engineers at classified sites, ensuring deterministic, well-tested outputs for hostile environments where support calls are not possible.

Responsibilities include deployment generation, documentation, bundle pipelines, profile-driven rendering for cloud/on-prem/air-gap targets, CI matrices, and robust testing. ITAR and clearance requirements apply.

Qualifications

  • Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline.
  • 5+ years of experience in Go Lang and/or Python.
  • 5+ 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 Lang
Python
Kubernetes

Education

Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline

Tools

Buildkite
GitHub Actions
Pulumi
Terraform

Job description

SpaceX is seeking a Sr. AI Engineer to join Special Programs Supercomputing. You will design tooling and collaborate with cleared engineers at classified sites, ensuring deterministic, well-tested outputs for hostile environments where support calls are not possible.

Responsibilities include deployment generation, documentation, bundle pipelines, profile-driven rendering for cloud/on-prem/air-gap targets, CI matrices, and robust testing. ITAR and clearance requirements apply.

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