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Airspace Intelligence

Software Engineer (Defense)

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

About this role

Air Space Intelligence seeks a Software Engineer to develop mission-critical decision-making technology for defense and aviation sectors. You'll build products from concept to scale in a fast-paced environment, working with Rust and Python while collaborating across teams on problems that impact airspace safety.

What you'll do

  • Design and build innovative software products from initial concept through production optimization
  • Develop high-performance, scalable systems for defense and critical infrastructure applications
  • Collaborate with cross-functional teams including end-users, engineers, and deployment strategists
  • Leverage LLM tools to accelerate development and improve code quality
  • Solve complex problems delivering decision-making tools to operational end-users
  • Travel as needed for deployments and team coordination

What they're looking for

  • Proficiency in modern programming languages (Rust and/or Python preferred)
  • High-performance and scalable systems design (senior level)
  • LLM tool integration and modern development workflows
  • Cross-team collaboration and communication
  • Independent problem-solving and leadership
  • Security clearance eligibility
  • Adaptability to changing priorities
  • Continuous learning mindset

Benefits

  • Work on mission-critical technology with real-world impact
  • Backing from top-tier investors (Andreessen Horowitz, Spark Capital)
  • Dynamic, fast-paced environment with opportunity to set excellence standards
  • Collaborative culture focused on solving meaningful problems
  • Growth opportunities in cutting-edge defense technology space
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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 project where you built a system from scratch (0 to 1). What were the key architectural decisions you made, and how did you validate them?
  • Describe your experience with Rust or Python. If you haven't used both, how would you approach learning a new language quickly in a fast-paced environment?