Level

SpaceX

Software Engineer, AI Infrastructure (Starshield)

SpaceX is hiring a Software Engineer, AI Infrastructure (Starshield) in Palo Alto, United States. It pays $125k-$160k a year and Level rates it ; you can apply on Level.

AI in this role

Design, operate, and scale AI infrastructure and massive GPU clusters for SpaceX's Starshield constellation.

kubernetesgpu
infrastructuresredevopsautomationdistributed-storage

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.

SOFTWARE ENGINEER, AI INFRASTRUCTURE (STARSHIELD)

At SpaceX we’re leveraging our experience in building rockets and spacecraft to deploy the Starshield constellation. Starshield is the world’s largest US government satellite constellation and is tasked with providing immediate access to critical intelligence and national security data for the US government anywhere on the globe. We design, build, test, and operate all parts of the system – receivers that allow users to connect within minutes, and the software that brings it all together. We’ve only begun to scratch the surface of Starshield's global impact and are looking for best-in-class engineers to help us further our ambitious goals.

As an engineer focused on Starshield's software and GPU infrastructure, you will design, operate and scale the infrastructure that supports critical national security missions. These positions cover a variety of areas ranging from Site Reliability Engineering, Developer Operations, and GPU platforms. You will develop automation to deploy and manage on-premise compute resources, create highly scalable and maintainable software products, and directly collaborate with engineering across the board.

RESPONSIBILITIES: 

  • Manage GPU/CPU infrastructure deployments to Top Secret data centers
  • Manage and provide support for GPU as a service for external customers on bare metal hardware and virtualized platforms
  • Design, validate, and productize solutions for AI clusters (100k+ GPU scale)
  • Develop automation to deploy and manage on-premise Kubernetes\AI clusters, and operating systems
  • Deploy and manage core infrastructure such as databases, monitoring and distributed storage
  • Closely collaborate with AI engineers to create highly scalable, operable, and maintainable products
  • Engage in and improve the whole lifecycle of services -- from inception and design, through deployment, operation and refinement
  • Monitoring and alerting supporting systems to have high availability
  • Identify areas for improvement and create innovative solutions that enable high system availability

BASIC QUALIFICATIONS:

  • Bachelor’s degree in computer science, information systems/IT, or an engineering discipline and 1+ years of professional experience in site reliability engineering or DevOps; OR 3+ years of professional experience in site reliability engineering or DevOps in lieu of a degree
  • 1+ years of professional experience with Linux operating systems
  • Experience with Terraform, Ansible, or other infrastructure tools
  • Experience with containerization technologies (i.e. OCI containers, Kubernetes)
  • Experience scripting in Bash, Python, or other similar languages
  • Development experience in Python, C++, or Go

PREFERRED SKILLS AND EXPERIENCE:

  • 1+ years of experience with Python and Python-based development frameworks
  • Experience managing Kubernetes clusters, not just using them
  • Knowledge of Linux boot process and systems configuration
  • Deep understanding of testing, continuous integration, build, deployment & continuous monitoring
  • Understanding of relevant build technologies, such as Bazel and Makefiles
  • Focus on performance bottlenecks and performance improvement techniques
  • Understanding of distributed databases and data modeling
  • Experience with automatically managing thousands of servers (eg: Terraform or Ansible)
  • Strong networking knowledge of TCP/IP
  • Cloud virtualization experience (as the cloud provider)
  • Experience using NVIDIA GPU deployment stacks (Blackwell/Rubin)
  • Excellent communications skills with the ability to communicate with customers, peers, management etc. in both formal and informal situations
  • Active Top Secret, Top Secret SCI, or DOE Level Q clearance

ADDITIONAL REQUIREMENTS:

  • Must be willing to work extended hours and weekends as needed
  • Must be willing to travel domestically and globally in the future when needed
  • 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:
Level 1: $125,000.00 - $160,000.00
Level 2: $145,000.00 - $195,000.00

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 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.

Those with an active clearance will receive a 10% differential, up to an additional $20,000 annually, once officially briefed into a classified program.

ITAR REQUIREMENTS:

  • 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.  

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.

Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com. 

How we rate this

Software Engineer, AI Infrastructure (Starshield) at SpaceX rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

InfrastructureSreDevopsAutomationDistributed StorageKubernetesGPU

Questions you could be asked

  1. Tell me about a project where infrastructure was part of your work. What did you do?
  2. Tell me about a project where sre was part of your work. What did you do?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where distributed storage was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Infrastructure, Sre, Devops, Automation, and Distributed Storage. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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