Simulation Software Engineer (Civil Aviation)

Air space Intelligence, Inc.; Boston (MA); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Air Space Intelligence, Inc. is seeking a Simulation Software Engineer for the Civil Aviation team to build simulators that model the National Airspace System, including aircraft trajectories, weather effects, ATC procedures, and pilot behavior.

You will apply expertise in discrete-time simulation, physics, statistics, and algorithms to design and implement robust simulation infrastructure and models, collaborating across disciplines in a safety-critical environment.

Formación

• Experience building infrastructure for discrete-time simulations.
• Experience implementing physics-based models in discrete-time simulations.
• Experience designing algorithms for mission-critical applications.
• Experience with Monte Carlo analysis to validate and tune algorithm performance.
• Domain experience in aviation or related fields where physical systems are modeled and controlled.
• Proficient with Rust and Python.

Responsabilidades

• Create simulators to model the NAS including aircraft trajectories, weather, ATC and pilot behavior.
• Design and implement simulation infrastructure and models using discrete-time methods.
• Collaborate across teams in a mission-critical environment to ensure reliability.

Conocimientos

Discrete-time sims

Physics-based models

Mission-critical algorithms

Monte Carlo analysis

Aviation domain

Rust

Python

Collaboration

LLM tooling

Herramientas

Rust

Python

Descripción del empleo

About ASI

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 Simulation Software Engineer on the Civil Aviation team, you will create software simulators to model the behavior of the entire National Airspace System, including aircraft trajectories, weather, ATC and pilot behavior, etc. You will use your knowledge of discrete time simulation, physics, statistics, and algorithms to design and implement simulation infrastructure and models.

What We Value

• Experience building infrastructure for discrete-time simulations

• Experience implementing physics-based models in discrete-time simulations

• Experience designing algorithms for mission‑critical applications

• Experience with Monte Carlo analysis as a means to validate and tune algorithm performance

• Domain experience in aviation or related fields where physical systems are modeled and controlled

• Experience with modern programming languages such as Rust and Python

• 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.

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.