AI Engineer, Platform Infrastructure, Special Programs

SPACE EXPLORATION TECHNOLOGIES CORP

Washington (District of Columbia)

On-site

USD 125,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Comprehensive medical coverage
401(k) retirement plan
Paid parental leave
3 weeks of paid vacation
Employee Stock Purchase Plan

Job summary

SPACE EXPLORATION TECHNOLOGIES CORP is seeking an AI Engineer for their Platform Infrastructure team in Washington, DC. This role involves building tooling for classified sites, ensuring that the solutions are robust and foolproof.

The ideal candidate will have a Bachelor's degree and experience with Go Lang, Python, and Kubernetes. The job offers a competitive salary ranging between $125,000.00 and $220,000.00 per year, along with comprehensive benefits and opportunities for stock options.

Qualifications

  • 1+ years of experience in Go Lang and/or Python.
  • Experience working with Kubernetes or similar tools.
  • Ability to obtain and maintain a Top Secret clearance.

Responsibilities

  • Design and build the deployment generator.
  • Create and maintain platform documentation.
  • Build and maintain the testing and validation framework.

Skills

Go Lang
Python
Kubernetes
CI/CD pipelines
Linux systems

Education

Bachelor's degree in relevant field

Tools

GitHub Actions
Terraform
NVIDIA drivers

Job description

Washington, DC

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

AI ENGINEER, PLATFORM INFRASTRUCTURE, SPECIAL PROGRAMS

As an AI Engineer, Platform Infrastructure you will build the tooling, and work with our cleared engineers at classified sites execute it. The quality of what you build directly determines how effectively those engineers can operate in environments where they cannot call you for help. Your tooling must be deterministic, complete, well‑tested, and foolproof.

RESPONSIBILITIES
  • Design and build the deployment generator.
  • Create and maintain platform documentation.
  • Build the bundle pipeline.
  • Implement profile‑driven rendering for public cloud, enterprise on‑prem, and classified air‑gap targets based on profile selection.
  • Build and maintain the cross‑profile CI matrix.
  • Build the testing and validation framework.
  • Integrate with the existing Supercompute team's operators, Helm charts, and CRDs by consuming their work as inputs to the generator without modifying production infrastructure.
  • Own the monitoring stack migration.
BASIC QUALIFICATIONS
  • Bachelor's degree in computer science, mathematics, computer engineering, physics, data science, or engineering discipline.
  • 1+ years of experience in Go Lang and/or Python.
  • 1+ years of experience working with Kubernetes or similar tooling for automating, developing and scaling containerized applications.
PREFERRED SKILLS AND EXPERIENCE
  • 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).
  • Familiarity with container image management.
  • Experience with Infrastructure‑as‑Code (Pulumi or Terraform) and understanding of state management tradeoffs.
  • Understanding of Linux systems.
  • Experience building air‑gapped or disconnected deployment tooling where all dependencies must be pre‑staged.
  • Familiarity with GPU infrastructure, including NVIDIA drivers, CUDA, NCCL, InfiniBand/RoCE networking.
  • Experience with PXE boot, cloud‑init, squashfs, or other bare metal provisioning technologies.
  • Own the bare metal provisioning pipeline.
ADDITIONAL REQUIREMENTS
  • Must be willing to work extended hours and weekends as needed.
  • 20% travel may be required to government sites.
  • This position requires successfully obtaining and maintaining a Top Secret Security Clearance as a condition of employment. While the clearance may not be immediately necessary upon hire, we encourage you to initiate the application process promptly upon accepting this offer. Your ability to secure the necessary clearance is essential for fulfilling key responsibilities of the role. Should you be unable to obtain it, SpaceX reserves the right to modify or terminate your employment to align with operational needs.
COMPENSATION AND BENEFITS

Pay range: AI Engineer: $125,000.00 - $220,000.00 per year.

Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the following considerations: job‑related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long‑term incentives, in the form of company stock, stock options, or long‑term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long‑term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

EEO STATEMENT

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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