Software Engineer (Civil Aviation)

About this role

Air Space Intelligence seeks a Software Engineer to build mission-critical backend systems modernizing U.S. air traffic control. You'll design data fusion and trajectory prediction systems handling real-time optimization of tens of thousands of daily flights, requiring expertise in distributed systems, data integration, and high-reliability architectures.

What you'll do

• Design and build production-grade backend systems for air traffic management at national scale
• Implement data fusion pipelines integrating radar, flight plans, weather, and operator inputs into authoritative airspace views
• Develop trajectory prediction and decision-support systems for dynamic, safety-critical environments
• Model uncertainty and data provenance while building systems that handle incomplete or conflicting data gracefully
• Collaborate across teams in multi-system environments with evolving data models
• Prepare airspace infrastructure for emerging technologies like commercial space operations and advanced air mobility

What they're looking for

• Backend or distributed systems development with focus on design principles
• Rust and/or Python proficiency
• Data integration, storage, processing, and modeling
• AWS and cloud-native architecture experience
• High-availability systems design (four nines reliability preferred)
• Modern LLM tools for development acceleration
• Geospatial, aviation, or mapping domain knowledge (plus)
• Cross-team collaboration in complex technical environments