Senior AI Engineer, Supercomputing, Special Programs

SpaceX

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Hawthorne, CAPalo Alto, CARedmond, WAWashington, DC
Salary
$220,000–$350,000 / yr
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $186k
This role $285k
$118k $375k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $150,000–$221,800 — the blue band above. At the midpoint, this role pays about $285k versus about $186k 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 825 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 575 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer, Supercomputing, Special Programs

As a Sr. AI Engineer on the Special Programs Supercomputing team, you will design and build deterministic, foolproof tooling for engineers operating in classified environments. Your primary responsibilities include building the deployment generator, bundle pipeline, and testing and validation framework. You will implement profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets while maintaining the cross-profile CI matrix and monitoring stack migration. The role requires proficiency in Go Lang and Python, along with extensive experience using Kubernetes for scaling containerized applications. You will utilize Infrastructure-as-Code tools like Pulumi or Terraform, manage container images, and work with GPU infrastructure including NVIDIA drivers and CUDA. This role solves the technical challenge of creating reliable, pre-staged deployment tooling for disconnected and air-gapped supercomputing systems.

What does a AI Engineer earn in California?

Median $246150 from 86 postings across 12 companies.

See salary data

What you'll do

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

What we're looking for

  • 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.
  • 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) (preferred).
  • Experience with Infrastructure-as-Code (Pulumi or Terraform) and understanding of state management tradeoffs (preferred).
  • Experience building air-gapped or disconnected deployment tooling where all dependencies must be pre-staged (preferred).
  • TOP SECRET CLEARANCE.

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