Sr. AI Engineer, Platform Infrastructure, Special Programs

SpaceX

Quick summary

Work type: On-site
Location: Washington, District of Columbia
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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At a glance

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

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As a Senior AI Engineer on the Platform Infrastructure 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, building CI/CD pipelines, and implementing profile-driven rendering across various cloud and air-gap targets. You will also integrate with existing Supercompute team tools without modifying production infrastructure and own the migration of monitoring stacks. The role requires expertise in Go or Python, Kubernetes, CI/CD frameworks like Buildkite or GitHub Actions, and Infrastructure-as-Code practices using Pulumi or Terraform. Experience with Linux systems, GPU infrastructure, and bare metal provisioning technologies is essential for this high-scale project focused on secure and efficient deployment solutions.

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.
Build a bundle pipeline to support various deployment environments.
Implement profile-driven rendering for different cloud and on-prem targets.
Own the monitoring stack migration process.
Integrate with existing Supercompute team's operators, Helm charts, and CRDs.

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 and deployment automation tools.
Familiarity with Infrastructure-as-Code (Pulumi or Terraform) and state management tradeoffs.
Understanding of Linux systems and experience with bare metal provisioning technologies.

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