Software Engineer; Platform Team

Software Engineer (Platform Team)

Space

X was founded under the belief that a future where humanity explores the stars is more exciting than a quiet one. Today we actively develop technologies to make this possible, with the ultimate goal of enabling human life on Mars.

The Platform Team builds foundational tooling and security infrastructure that empowers every team to harness AI effectively. This team creates secure, scalable gateways and proxy systems that allow engineers and operators to write code faster, perform advanced data analysis, connect AI to daily tools, 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, the team unlocks reliable, high‑impact AI capabilities across the organization.

As a Software Engineer for Space

X’s AI platform, you will act as an entrepreneurial builder focused on the leanest and most effective applied use of AI. 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 Space

X production and development by enabling every team to move faster with trustworthy AI.

• 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

• 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)

• 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, Type Script, 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

Pay range:
Software Engineer/Level I: $ – $ per year
Software Engineer/Level II: $ – $ per year

Your actual level and base salary will be determined on a case‑by‑case basis and may vary based on the…