Air Space Intelligence

Software Engineer (Civil Aviation)

Air Space Intelligence
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5 months ago
Boston, MA, USAMid Level

Responsibilities

  • Design and build a backend system supporting U.S. air travel and air traffic control operations.
  • Ingest and fuse disparate, noisy, and potentially conflicting data streams from radar, flight plans, weather systems, operator inputs, and other sources.
  • Resolve incoming data into a single authoritative view of the operational environment.
  • Project system state forward in time to enable optimization across competing conditions and constraints.
  • Model uncertainty, data provenance, and confidence while ensuring systems degrade gracefully when inputs are incomplete or incorrect.
  • Build software that is precise, resilient, reliable, scalable, and maintainable by future engineers.

Requirements

  • Experience building production-grade backend or distributed systems with strong maintainability, scalability, and performance characteristics.
  • Proficiency in at least one modern programming language, with the ability to quickly learn Rust and Python.
  • Experience with data integration, data storage, data processing, and data modeling systems.
  • Experience with AWS and cloud-native architectures.
  • Ability to work in complex, multi-system environments with evolving data models.
  • Strong collaboration skills in a mission-critical environment.
  • Proficiency in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Exposure to high-availability systems is a strong plus.
  • Aviation, mapping, geospatial, or other physical-world data domain experience is a strong plus.
  • Ability to obtain required authorizations for work involving export-controlled technology and restricted U.S. Government data, including applicable immigration-status and location requirements.

Tech Stack

Categories

Air Space Intelligence

About Air Space Intelligence

201-500 employees

Air Space Intelligence builds decision-support software that lets operators simulate scenarios, predict risk, and optimize logistics and operations across aviation, defense, energy, and other critical infrastructure. The company sells enterprise platforms to government and commercial customers, including programs requiring U.S. security clearances. Founded in 2018 and headquartered in Boston, it is privately held and backed by investors such as Andreessen Horowitz, Spark Capital, and Renegade Partners.

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