Software Engineer (Platform Team)

SpaceX
Starbase, US
On-site

Who this role is best for

Best suited to mid-level software engineers with production platform experience who thrive in security-focused, entrepreneurial environments.

Best fit for

  • Engineers with experience in Docker containers and multi-provider integrations will align well with current systems.
    — “Current systems are built with Docker containers acting as secure gateways
  • Candidates who enjoy enabling peers through shared tools and documentation will find strong alignment.
    — “building shared products, prompts, skills, and infrastructure
  • Those with an entrepreneurial mindset and a track record of delivering high-impact solutions are ideal.
    — “Entrepreneurial mindset with a track record of identifying and delivering high-impact solutions

Things to consider

  • Must be eligible for U.S. Government export-controlled work due to ITAR requirements.
    — “To conform to U.S. Government export regulations

How to stand out

  • Highlight specific instances where you built internal platforms or AI gateways in production environments.
    — “Experience building internal developer platforms, AI gateways, or secure proxy systems in production
  • Demonstrate your ability to drive adoption of tools across teams with measurable impact.
    — “Drive adoption by communicating value, directly supporting engineers
  • Showcase expertise in Kubernetes and infrastructure-as-code tools to address preferred skills.
    — “Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • secure, scalable AI platforms
  • onboarding new models
  • expanding compute resources
  • optimizing proxy systems
Typical background
software engineeringAI engineering

Skills & requirements

Required

Software EngineeringAI PlatformsSecure SystemsProxy SystemsDockerMulti-provider IntegrationsMlops

Preferred

AI GatewaysSecure Proxy SystemsCloud Compute

Stack & domain

DockerAIMlopsCloud ComputeProxy SystemsSecure GatewaysAi-powered Code ReviewPr AutomationEntrepreneurialCollaborationProblem-solvingCommunicationSoftware EngineeringSecurityCloud Computing

About the role

Original posting from SpaceX via Greenhouse

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 (PLATFORM TEAM) 

The Platform Team is responsible for building the foundational tooling and security infrastructure that empowers every team at SpaceX to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators across the company to write code faster, perform advanced data analysis, connect AI to their daily tools and problems, and turn ideas into deployed solutions with confidence. By onboarding new frontier models, expanding compute capacity, optimizing proxy efficiency for logging and control, and building shared products, prompts, skills, and infrastructure, this team unlocks reliable, high-impact AI capabilities across the entire organization. 

As a Software Engineer for SpaceX's AI platform, you will act as an entrepreneurial builder focused on the leanest and most effective applied use of AI at SpaceX. You will design platforms that convert engineering know-how into tested software, automation, and reliable data stores at scale while creating risk-mitigation tools such as intelligent code review and PR assistants. Current systems are built with Docker containers acting as secure gateways and proxies that integrate with any cloud compute provider and multiple frontier model providers. Your work will directly accelerate SpaceX production and development by enabling every team to move faster with trustworthy AI. 

RESPONSIBILITIES: 

Design, build, and operate secure, scalable AI platforms and proxy systems used by teams throughout SpaceX

Own the full lifecycle of platform development including design, testing, deployment, and continuous improvement

Drive adoption by communicating value, directly supporting engineers, and building shared prompts, skills, and infrastructure that accelerate peers

Act entrepreneurially to identify high-value opportunities and create solutions that allow users to rapidly turn problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute

Collaborate closely with stakeholders to deeply understand needs and deliver platforms that connect AI to real tools and workflows

Onboard new models, expand compute resources, and optimize efficiency of proxy systems for logging, control, and security

Develop tools that mitigate business risk, such as AI-powered code review and PR automation

Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems across the company 

BASIC QUALIFICATIONS: 

Bachelor’s degree in computer science, computer engineering, or other engineering discipline; OR 2+ years of professional experience building production software in lieu of a degree

Experience developing production software systems (platform, backend, or full stack) 

PREFERRED SKILLS AND EXPERIENCE: 

Experience building internal developer platforms, AI gateways, or secure proxy systems in production

Hands-on work with Docker containers, security-focused architecture, and multi-provider integrations (cloud compute + frontier model providers)

Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage

Strong desire to enable others — experience creating tools, documentation, shared assets, or training that drives company-wide adoption

Entrepreneurial mindset with a track record of identifying and delivering high-impact solutions

Proficiency in Python and experience with additional languages (Go, Java, TypeScript, etc.)

Knowledge of Kubernetes, container orchestration, observability, and infrastructure-as-code tools

Understanding of AI risk mitigation, code generation, and developer productivity tools

Passion for turning complex engineering problems into simple, reliable, and secure AI-powered outcomes 

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. 

Source: SpaceX careers (Greenhouse)

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