Optimization Software Engineer (Civil Aviation)
Air Space Intelligence2 days ago
Boston, MA, USASenior
Base Salary
$135k - $265k/yr
Responsibilities
- Design, analyze, and implement algorithms for tracking and planning aircraft trajectories in the National Airspace System.
- Develop real-time systems that monitor and control complex airspace operations.
- Apply optimization, operations research, statistics, and data science techniques to trajectory prediction and decision-support problems.
- Analyze large datasets and build statistical or machine learning models.
- Collaborate across teams in a mission-critical, safety-critical environment.
- Use modern LLM tools to accelerate development workflows and enhance code quality.
Requirements
- Experience designing algorithms for mission-critical applications.
- Experience with optimization algorithms such as linear programming, mixed integer linear programming, constraint satisfaction, and greedy algorithms.
- Experience analyzing large datasets and applying statistical and machine learning techniques to build models.
- Domain experience in logistics, aviation, or other large-scale planning fields.
- Experience with modern programming languages such as Rust and Python.
- Strong collaboration skills and comfort working across teams in a mission-critical environment.
- Proficiency with modern LLM tools for software development workflows.
About Air Space Intelligence
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.