The opportunity
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.
What you'll do
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
What they're looking for
- 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
- 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
- + years of experience in software engineering with a focus on automation: tools and/or AI integrations (professional and personal projects are applicable)
