--- title: 'Software Engineer (Civil Aviation) at Air Space Intelligence' canonical: 'https://feeny.ai/job/software-engineer-civil-aviation-air-space-intelligence-boston-z5fem1w8rbdz' type: 'job' last_seen: '2026-09-14' --- # Software Engineer (Civil Aviation) at Air Space Intelligence - **Company:** Air Space Intelligence - **Location:** Boston, MA - **Employment:** full-time - **Posted:** 2026-04-23 - **Last confirmed live:** 2026-09-14 - **Apply:** https://jobs.ashbyhq.com/airspace-intelligence.com/1336c828-21b1-48a0-bbce-8c6e2d061124/application **Skills:** Rust, Python, Backend Systems, Distributed Systems, Data Integration, Data Storage, Data Processing, Data Modeling, AWS, Cloud-Native Architectures, LLM Tools, High-Availability Systems, Aviation Domain Knowledge, Mapping Systems, Geospatial Systems > Design and build a robust backend system for U.S. air traffic control, focusing on data fusion from diverse sources like radar and weather systems. The role involves developing scalable, high-availability backend solutions using Rust or Python to support safety-critical aviation operations. ## Job description ## About Air Space Intelligence ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen 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. ## About the Civil Aviation Team We are 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. Our 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. What You Will Do: 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 is a platform that needs to be right the first time and maintainable by future engineers who had no hand in building it. The core technical challenge is data fusion at operational scale: ingesting disparate, noisy, and potentially conflicting data streams, from radar, flight plans, weather systems, operator inputs, and more, 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 person in this role needs to have strong intuitions about how to model uncertainty, how to reason about data provenance and confidence, and how to build systems that degrade gracefully when inputs are incomplete or wrong. What We Value: - 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. We work in Rust and Python and expect you to have the foundation to quickly learn these languages. - Experience with data integration, data storage, data processing, and data modeling systems. - Experience with AWS and cloud-native architectures. - Exposure to high-availability systems (e.g., “four nines” reliability) is a strong plus. - 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. - 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 is a strong plus. How We Hire: We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you. ASI works with export-controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties. ## About Air Space Intelligence ## Company Overview - **One-liner**: Air Space Intelligence (ASI) builds AI-powered software that enables predictive situational awareness and optimization for mission-critical operations in defense, aviation, and critical infrastructure. - **Entity Type**: Private (Series B, total funding $34.35M) - **Headquarters**: Boston, Massachusetts, United States (with offices in Gdansk, Poland, and Washington, D.C.) - **Founded**: 2018 - **Founders**: Phillip Buckendorf (CEO) and Kris Dorosz (Co-Founder & CTO) ## Core Business - **Primary industries**: Defense & national security, commercial aviation, logistics, critical infrastructure (energy, transportation) - **Target customers**: B2B and B2G – large enterprises (e.g., world’s largest airlines, Alaska Airlines) and U.S. government agencies (U.S. Air Force, FAA, DIU) - **Mission statement**: “To transform reaction into foresight, powering decisions that can’t be wrong.” ## Products & Services - **PRESCIENCE Platform**: A four-dimensional (geospatial + temporal) simulation and AI-driven decision support system that fuses multi-modal data, models operational domains, predicts future states, and recommends optimized courses of action. Used for logistics, air operations, and energy grid management. - **Defense Solutions**: The Logistics Kill Chain – software that applies kill-chain thinking to sustainment, enabling operators to find, target, and mitigate logistics friction at machine speed. - **Commercial Solutions**: AI for multi-modal freight, airlines (flight operations optimization), and energy grid operations (collaboration with National Grid). ## Market Standing - **Valuation**: Not publicly disclosed. - **Key Metric**: Annual revenue not disclosed; **total funding**: $34.35M across 6 rounds (Seed, Series A, Series B, grants). - **Notable Investors**: Andreessen Horowitz, Spark Capital, Renegade Partners, Gradient (Google’s AI fund), Bloomberg Beta. - **Recent Milestones & Growth Signals**: - Awarded an $875M FAA contract to modernize the National Airspace System. - Collaborations with U.S. Air Force (NITMRE-GEO) and Defense Innovation Unit (DIU). - Partnered with National Grid to deploy operational AI for electric grids. - **138 employees** (38.6% YoY growth, +44 people). - 25 active job postings (+66.7% YoY). - LinkedIn followers: 5,434 (+81.3% yearly). ## Competitive Advantages - **Dual-use capability**: Serving both commercial and defense customers with the same core platform, enabling cross-sector innovation and scale. - **Domain-specific AI**: Deep modeling of geospatial and temporal operations (aviation, logistics, energy) – not generic AI but purpose-built for mission-critical workflows. - **Speed of deployment**: Claimed ability to deploy predictive capabilities in weeks, not years, due to open data architecture and domain modeling engine. - **Team composition**: Mix of top software/ML engineers and industry veterans with decades of mission experience (e.g., Jeppesen, MITRE, Amazon, Intel). ## Strategic Focus - **Current priorities**: Expanding defense contracts (U.S. and allies), scaling into new mission-critical verticals (energy, supply chain), and deepening AI/ML capabilities for predictive operations. - **Direction**: Moving beyond visibility to predictability – helping operators act on the future state rather than reacting to past data. ## Why Work Here - **Culture**: High-energy, mission-driven environment where “speed matters” and autonomy is granted early. Emphasizes merit over experience, intellectual curiosity, and resourceful builders. - **Work policy**: Flexible work hours and flexible time off (output-based). Offices in Boston, Gdansk, and Washington, D.C. – likely hybrid/remote-friendly (global team supporting 24/7 operations). - **Perks**: Premium healthcare, competitive salary + equity, team lunches, ergonomic office equipment, and modern productivity tools. - **Engineering culture**: Strong focus on impactful work (systems already monitoring tens of thousands of flights globally), collaboration across distributed teams, and a mantra of “today is better than tomorrow.” - **Ratings**: 4.7/5 on LinkedIn (6 reviews), with high marks for culture (4.8), compensation, and work-life balance (4.6). ## Sources 1. [airspace-intelligence.com](https://www.airspace-intelligence.com/company) 2. [airspace-intelligence.com](https://www.airspace-intelligence.com/) 3. [airspace-intelligence.com](https://www.airspace-intelligence.com/careers) 4. [linkedin.com](https://www.linkedin.com/company/airspace-intelligence) 5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/airspace-intelligence.com) ## Other roles at Air Space Intelligence - [Technical Lead (Defense)](https://feeny.ai/job/technical-lead-defense-air-space-intelligence-boston-axjrjn1y310c) — Boston, MA - [Security Engineer](https://feeny.ai/job/security-engineer-air-space-intelligence-boston-w2xpmmw7rjp7) — Boston, MA - [InfraSec Engineer](https://feeny.ai/job/infrasec-engineer-air-space-intelligence-boston-s5s8mm6cwecb) — Boston, MA - [Software Engineer (Defense)](https://feeny.ai/job/software-engineer-defense-air-space-intelligence-denver-nra8x64yt78c) — Denver, CO - [Frontend Engineer (Civil Aviation)](https://feeny.ai/job/frontend-engineer-civil-aviation-air-space-intelligence-boston-41fq1b652b2d) — Boston, MA - [Senior IT Support Analyst](https://feeny.ai/job/senior-it-support-analyst-air-space-intelligence-boston-fh3sftv6xe4r) — Boston, MA - [Data Lead (Defense)](https://feeny.ai/job/data-lead-defense-air-space-intelligence-colorado-4q8r2jffhkaq) — Colorado, United States - [Growth Lead (Energy)](https://feeny.ai/job/growth-lead-energy-air-space-intelligence-united-states-1zq8x63tbggk) — United States - [Deployment Lead (Defense)](https://feeny.ai/job/deployment-lead-defense-air-space-intelligence-united-states-k1fv94bs260k) — United States - [Data Lead (Defense)](https://feeny.ai/job/data-lead-defense-air-space-intelligence-hawaii-c7vj80g6wb2t) — Hawaii, United States