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Airspace Intelligence

Frontend Engineer (Defense)

Boston, US$135k–$265kfulltimemidAdded 1 month ago

About this role

Air Space Intelligence seeks a Frontend Engineer to build mission-critical web applications for defense and aviation sectors. You'll develop real-time, map-based user interfaces using React, TypeScript, and advanced graphics libraries, working closely with defense and design teams to deliver operational decision-making tools.

What you'll do

  • Develop user-facing features in React, Redux, and TypeScript for defense applications
  • Build complex, map-based web applications with real-time interactive rendering using Mapbox or similar tools
  • Implement graphics acceleration using WebGL, WebGPU, or ThreeJS
  • Write efficient, maintainable code and optimize performance with WebAssembly
  • Collaborate with defense and design teams to translate requirements into high-quality products
  • Own problem-solving across the full stack from database models to APIs

What they're looking for

  • JavaScript/TypeScript
  • React and Redux
  • Mapbox, Maplibre, or Google Maps
  • WebGL, WebGPU, or ThreeJS
  • WebAssembly (WASM)
  • CSS
  • LLM tools for development
  • API and database design

Benefits

  • Work on mission-critical technology with real-world impact
  • Backed by top-tier investors including Andreessen Horowitz and Spark Capital
  • Collaborative interview process designed around candidate strengths
  • Boston, US location
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Airspace Intelligence

Airspace Intelligence builds mission-critical software systems for modernizing air traffic control and defense aviation operations, including real-time visualization tools and decision-making platforms. The company is hiring Frontend Engineers, Full Stack Engineers, Machine Learning Engineers, and Software Engineers to develop web applications, ML systems, and backend infrastructure using technologies like React, TypeScript, Rust, and Python.

View all jobs at Airspace Intelligence

Likely interview questions

  • Walk us through a complex map-based application you've built. How did you handle rendering multiple interactive features and overlays, and what performance challenges did you encounter?
  • Tell us about your experience with Mapbox, Maplibre, or Google Maps. How have you optimized real-time rendering of large datasets or dynamic features?
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