AI Engineer, Platform Infrastructure, Special Programs

SpaceX

Quick summary

Work type: On-site
Location: Washington, DC
Salary: $125,000–$220,000 / yr
Posted: today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k

This role $172k

$109k most similar roles pay here $273k

This role pays less than 72% of similar roles. Most pay $168,755–$246,150 — the shaded band above. At the midpoint, this role pays about $172k versus about $207k 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 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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View all roles at SpaceX

At a glance

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

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As an AI Engineer, Platform Infrastructure at the Special Programs team, you will design and build deployment tooling for classified environments where direct support is not possible. Your daily tasks include creating a deterministic deployment generator, maintaining platform documentation, and building CI/CD pipelines. You will also implement profile-driven rendering for various cloud targets and manage testing frameworks. Key technologies involve Go Lang or Python, Kubernetes, Helm charts, CRDs, and Infrastructure-as-Code tools like Pulumi or Terraform. The role requires experience with air-gapped deployments, GPU infrastructure, and bare metal provisioning techniques. This position is crucial for ensuring secure and efficient operations in high-stakes environments.

Skills

Go Python Kubernetes Buildkite GitHub Actions Terraform Pulumi Linux GPU infrastructure NVIDIA drivers CUDA NCCL InfiniBand RoCE networking PXE boot cloud-init squashfs CI/CD Docker

What you'll do

Design and build the deployment generator for AI platform infrastructure.
Create and maintain comprehensive platform documentation.
Build a bundle pipeline to support various deployment targets.
Implement profile-driven rendering for different cloud environments.
Own the monitoring stack migration process.
Integrate with existing Supercompute team’s operators without modifying production infrastructure.

What we're looking for

Bachelor's degree in computer science, mathematics, engineering, physics, data science, or related field.
1+ years of experience with Go Lang and/or Python.
1+ years of experience working with Kubernetes or similar container orchestration tools.
Experience building CI/CD pipelines using Buildkite, GitHub Actions, or equivalent systems.
Familiarity with Infrastructure-as-Code (IaC) tools like Pulumi or Terraform and Linux systems.
Experience in air-gapped deployment tooling and GPU infrastructure including NVIDIA drivers.

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