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Software Engineer; Platform Team

Job in Hawthorne, Los Angeles County, California, 90250, USA
Listing for: SPACE EXPLORATION TECHNOLOGIES CORP
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    Software Engineer, Cloud Engineer - Software, DevOps, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 175000 USD Yearly USD 125000.00 175000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Platform Team)

Space

X 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 Space

X 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 Space

X 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.

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, 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
Compensation and Benefits

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 following considerations: job‑related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package  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…

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