At a glance
- Experience
- 1+ years experience
- Location
- Hawthorne
About the role
- The AI Data Engineering team builds AI-powered tools and automation to solve engineering challenges for launch vehicles and spacecraft. Engineers in this role develop agentic AI systems, data pipelines, and automation to streamline mission preparation and anomaly investigation.
Responsibilities
- Partner with engineering teams to identify and automate time-consuming, repetitive, or error-prone work.
- Build automation to process large volumes of engineering data, including telemetry, hardware databases, and test records.
- Design agentic AI systems, multi-agent workflows, and MCP servers for data analysis and action.
- Integrate tools into CI/CD pipelines and mission workflows.
- Build internal web dashboards for monitoring mission status and data review results.
- Rapidly prototype and iterate tools to a production-grade, maintainable state.
- Test and validate tools, including evaluating AI outputs against known-good results.
- Prioritize work based on return on investment and track engineering hours saved.
Requirements
- 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.
- 1+ years of experience in software engineering with a focus on automation tools and/or AI integrations.
- 1+ years of programming experience in Python.
- Must be a U.S. citizen, U.S. lawful permanent resident, refugee, or asylee to conform to U.S. Government export regulations.
Preferred qualifications
- Track record of building tools adopted by end users.
- Experience processing large engineering or scientific datasets using pandas and NumPy.
- Experience building code or configuration generators.
- Hands-on experience building complex agentic AI systems and multi-agent workflows.
- Ability to design evaluations for LLM-based tools.
- Proficiency with REST APIs and relational/non-relational/vector databases.
- Full-stack experience with React/TypeScript and Python backends.
- Familiarity with Linux, Git, Docker, Kubernetes, and hardware engineering concepts.
Benefits
- Company stock or long-term cash awards
- Discretionary bonuses
- Employee Stock Purchase Plan
- Medical, vision, and dental coverage
- 401(k) retirement plan
- Short and long-term disability insurance
- Life insurance
- Paid parental leave
- 3 weeks of paid vacation
- 10+ paid holidays per year
Skills
- Python
- AI
- Automation
- Pandas
- NumPy
- SQL
- PostgreSQL
- React
- TypeScript
- FastAPI
- Flask
- Linux
Show all 15 skills
- Git
- Docker
- Kubernetes
