Senior AI Engineer, Platform Infrastructure, Special Programs

SpaceX

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CA
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

As a Sr. AI Engineer, Platform Infrastructure, Special Programs, you will join the team to build robust tooling for engineers operating in classified environments where remote assistance is unavailable. Your primary responsibilities include designing and building the deployment generator, creating platform documentation, maintaining the bundle pipeline, and implementing profile-driven rendering for public cloud, enterprise on-prem, and classified air-gap targets. You will also manage the cross-profile CI matrix, develop testing and validation frameworks, oversee monitoring stack migrations, and own the bare metal provisioning pipeline. The role requires proficiency in Go Lang, Python, Kubernetes, and Infrastructure-as-Code tools like Pulumi or Terraform. Technical requirements include experience with CI/CD pipelines, container image management, Linux systems, GPU infrastructure including NVIDIA drivers and CUDA, and specialized knowledge of air-gapped deployment tooling where all dependencies must be pre-staged.

What does a AI Engineer earn in California?

Median $246150 from 84 postings across 12 companies.

See salary data

What you'll do

  • Design and build the deployment generator.
  • Create and maintain platform documentation.
  • Build and manage 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.
  • Develop the testing and validation framework.
  • Integrate with existing Supercompute team infrastructure as inputs to the generator.
  • Own the monitoring stack migration and 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.
  • 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.
  • Must be a U.S. citizen, national, lawful permanent resident, or eligible for required export control authorizations.
  • Security Clearance as a condition of employment.

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