Senior AI Engineer, Platform Infrastructure, Special Programs

SpaceX

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Washington, DC
Salary
$220,000–$350,000 / yr
Posted
113 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $285k
$126k most similar roles pay here $374k

This role pays more than 95% of similar roles. Most pay $151,000–$246,150 — the shaded band above. At the midpoint, this role pays about $285k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 680 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 442 roles with salary data.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Senior AI Engineer, Platform Infrastructure, Special Programs

Sr. AI Engineer, Platform Infrastructure, Special Programs will join the Platform Infrastructure team to build robust tooling for engineers operating in classified environments where remote assistance is unavailable. The role involves designing and building a deployment generator, maintaining platform documentation, creating bundle pipelines, and implementing profile-driven rendering for public cloud, enterprise on-prem, and air-gapped targets. Key responsibilities include managing the cross-profile CI matrix, developing testing and validation frameworks, migrating monitoring stacks, and owning bare metal provisioning pipelines. The position requires proficiency in Go Lang or Python, Kubernetes, and Infrastructure-as-Code tools like Pulumi or Terraform. Candidates should possess experience with CI/CD systems, container image management, Linux systems, and GPU infrastructure including NVIDIA drivers and CUDA. This role specifically addresses the challenge of creating deterministic, foolproof deployment tooling for disconnected environments where all dependencies must be pre-staged.

What does a AI Engineer earn?

Median $211200 from 132 postings across 36 companies.

See salary data

What you'll do

  • Design and build the deployment generator.
  • Create and maintain platform documentation.
  • Build and maintain the bundle pipeline and cross-profile CI matrix.
  • Implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets.
  • Develop the testing and validation framework.
  • Integrate with Supercompute team infrastructure by consuming Helm charts and CRDs as inputs.
  • Own the monitoring stack migration.
  • Manage the bare metal provisioning pipeline.

What we're looking for

  • Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or an 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.
  • Ability to obtain and maintain a Top Secret or Top Secret SCI clearance.
  • Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.
  • Experience building CI/CD pipelines and deployment automation using Buildkite, GitHub Actions, or equivalent tools.
  • Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs.
  • Security Clearance as a condition of employment.

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