Aerospace experience is not strictly required - we are looking for smart, motivated, collaborative engineers who love solving problems and want to make an impact on an inspiring mission.
RESPONSIBILITIES
Partner directly with engineering teams to identify their most time-consuming, repetitive, or error-prone work, then design and build tools that automate it
Build automation that processes large volumes of engineering data, including telemetry, hardware design databases, configuration files, and manufacturing and test records, to automate data review, flag anomalies, and surface insights
Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query, analyze, and act on data across many internal systems
Integrate tools into CI/CD pipelines, mission workflows, and review/sign-off processes so automation runs where engineers already work
Build internal web dashboards that give engineers a clear view of mission status, open work, and data review results
Rapidly prototype and iterate, then take tools to a production-grade, maintainable state
Thoroughly test and validate all tools, including evaluating AI outputs against known-good results, so engineers can trust them in a flight-critical environment
Prioritize work by return on investment and track the engineering hours saved
BASIC QUALIFICATIONS
Bachelor's degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree
5+ years of experience in software engineering with a focus on automation tools and/or AI integrations (professional and personal projects are applicable)
5+ years of programming experience in Python
PREFERRED SKILLS AND EXPERIENCE
Track record of building tools that engineers or other end users actually adopted, including gathering requirements directly from users and iterating on their feedback
Comfort processing and analyzing large engineering or scientific datasets (time-series telemetry, sensor data, logs, etc.) using tools such as pandas and NumPy
Built code or configuration generators that turn a source of truth (design databases, spreadsheets, schemas) into validated outputs
Hands-on work building complex agentic AI systems and multi-agent workflows, including prompt and context engineering, tool/function calling, and MCP servers or agent skills
Ability to design evaluations for LLM-based tools, and the judgment to know when a deterministic script is a better fit than an AI model
Skilled at integrating with many systems through REST APIs, and quickly learning unfamiliar internal tools and data sources
Working knowledge of relational (PostgreSQL), non-relational, and vector databases, with strong SQL skills
Full-stack experience building web applications or dashboards (e.g., React/TypeScript frontends with Python backends such as FastAPI or Flask)
Proficiency developing on Linux, with a solid understanding of Git, testing, CI/CD, and monitoring
Familiarity deploying containerized applications using Docker and Kubernetes
Familiarity with hardware engineering concepts (electrical schematics and wiring, sensors, propulsion, controls, or test and manufacturing processes), or a background as a hardware or test engineer who moved into software
Strong communication skills and ability to explain technical tradeoffs to engineers in other disciplines
Self-directed and comfortable owning ambiguous problems from initial idea through long-term maintenance
ADDITIONAL REQUIREMENTS
Willing to work extended hours and weekends as needed
COMPENSATION AND BENEFITS
Pay Range
Level 3: $165,000.00 - $265,000.00
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.
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.
