Sr. Software Engineer (AI Data Engineering)
Hawthorne · USD 165,000-265,000 · 4+ years experience · Posted Oct 9, 2026
At a glance
- Experience
- 4+ years experience
- Location
- Hawthorne
- Salary
- USD 165,000-265,000 · Base salary
About the role
- The AI Data Engineering team builds AI-powered tools and automation to solve engineering problems for launch vehicles and spacecraft.
- This role involves developing agentic AI systems, RAG-based search, and data pipelines to automate recurring tasks for avionics, propulsion, and structures engineers.
- You will own solutions end-to-end, from scoping requirements with internal teams to production deployment and maintenance.
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 design databases, and manufacturing records.
- Design agentic AI systems, multi-agent workflows, and MCP servers for data querying and analysis.
- Integrate tools into CI/CD pipelines, mission workflows, and review processes.
- Develop internal web dashboards to provide visibility into 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 for flight-critical environments.
- 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.
- 5+ years of experience in software engineering with a focus on automation tools and/or AI integrations.
- 5+ years of programming experience in Python.
- Must be a U.S. citizen, 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 with agentic AI systems, multi-agent workflows, prompt engineering, and MCP servers.
- Ability to design evaluations for LLM-based tools.
- Proficiency with REST APIs, PostgreSQL, vector databases, and SQL.
- Full-stack web development experience using React/TypeScript and Python backends (FastAPI/Flask).
- Familiarity with Linux, Git, CI/CD, 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
- Agentic AI
- RAG
- MCP
- Pandas
- NumPy
- SQL
- PostgreSQL
- React
- TypeScript
- FastAPI
- Flask
Show all 14 skills
- Docker
- Kubernetes
