Sr. AI Engineer, Platform Infrastructure, Special Programs

SpaceX

Quick summary

Work type: On-site
Location: Palo Alto, CA
Salary: $220,000–$350,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $285k

$148k most similar roles pay here $372k

This role pays more than 90% of similar roles. Most pay $170,000–$246,150 — the shaded band above. At the midpoint, this role pays about $285k versus about $208k 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 · Sr. AI Engineer, Platform Infrastructure, Special Programs

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As a Senior AI Engineer in Platform Infrastructure for Special Programs, you will join a dedicated team to develop robust tooling that enables cleared engineers at classified sites to operate independently. Your daily tasks include designing and building the deployment generator, creating comprehensive platform documentation, and implementing CI/CD pipelines. You will also work on profile-driven rendering for various environments and maintain testing frameworks. Key technologies involve Go Lang or Python, Kubernetes, Buildkite, GitHub Actions, Pulumi/Terraform, and Linux systems. Experience with air-gapped deployments, GPU infrastructure, and bare metal provisioning is essential. This role focuses on high-scale deployment challenges in a classified setting, requiring expertise in deterministic tooling and thorough testing methodologies.

Skills

Go Python Kubernetes Terraform Buildkite GitHub Actions Linux PXE boot cloud-init squashfs NVIDIA drivers CUDA NCCL InfiniBand RoCE CI/CD Prometheus Grafana

What you'll do

Design and build the deployment generator for AI platform infrastructure.
Create and maintain comprehensive platform documentation for clarity and ease of use.
Build a robust bundle pipeline to ensure efficient software distribution.
Implement profile-driven rendering across various cloud environments, including air-gap targets.
Own the monitoring stack migration to enhance system observability and performance.
Integrate with existing Supercompute team’s operators and Helm charts without modifying production infrastructure.
Build and maintain a testing and validation framework for deterministic outcomes.

What we're looking for

5+ years of experience in Go Lang and/or Python.
5+ years working with Kubernetes for automating, developing, and scaling containerized applications.
Experience building CI/CD pipelines using tools like Buildkite or GitHub Actions.
Familiarity with Infrastructure-as-Code (IaC) tools such as Pulumi or Terraform.
Understanding of Linux systems and experience with bare metal provisioning technologies.
Experience in building air-gapped deployment tooling where all dependencies must be pre-staged.

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