Software Engineer (Civil Aviation)

Air Space Intelligence • Boston, MA

21h

About The Position

ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andressen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible. The Civil Aviation team is modernizing America’s air traffic control system on an accelerated timeline, tackling one of the world’s most complex real-time optimization challenges: safely coordinating tens of thousands of daily flights in a dynamic, safety-critical environment. The team is building next-generation trajectory prediction and decision-support systems while preparing the airspace for emerging technologies like commercial space operations and advanced air mobility. This mission-critical work demands exceptional precision, resilience, and reliability to support the safety and efficiency of the national airspace. As a Software Engineer for the Civil Aviation team, you will design and build a backend system that will operate at the center of U.S. air travel for the next decade and beyond. This platform needs to be right the first time and maintainable by future engineers who had no hand in building it. The core technical challenge involves data fusion at operational scale: ingesting disparate, noisy, and potentially conflicting data streams from various sources like radar, flight plans, weather systems, and operator inputs, and resolving them into a single, authoritative view of the world. From there, the system projects that state forward in time, enabling optimization across a complex set of competing conditions and constraints. The role requires strong intuitions about how to model uncertainty, reason about data provenance and confidence, and build systems that degrade gracefully when inputs are incomplete or wrong.

Requirements

• Experience building production-grade backend or distributed systems where strong design principles make the difference in maintainability, scalability, and performance.
• Proficiency in at least one modern programming language.
• Foundation 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 and comfort working across teams in a mission-critical environment.
• Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.

Nice To Haves

• Exposure to high-availability systems (e.g., “four nines” reliability).
• Domain experience in aviation, mapping, geospatial systems, or any field where the physical world is the source of truth and data is always an approximation of it.

Responsibilities

• Design and build a backend system that will operate at the center of U.S. air travel for the next decade and beyond.
• Ensure the platform is maintainable by future engineers.
• Tackle data fusion at operational scale: ingesting disparate, noisy, and potentially conflicting data streams from radar, flight plans, weather systems, operator inputs, and more.
• Resolve data streams into a single, authoritative view of the world.
• Project the system's state forward in time, enabling optimization across a complex set of competing conditions and constraints.
• Model uncertainty.
• Reason about data provenance and confidence.
• Build systems that degrade gracefully when inputs are incomplete or wrong.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees