GNC Engineer Modeling & Simulations

About the Company:

We are a stealth-mode Aerospace & Defense startup headquartered in El Segundo, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and several Silicon Valley firms. With a world-class business development & leadership team already in place, we are well positioned to capitalize on already overwhelming demand.

Job Overview:

As a GNC Engineer focused on Simulations, you will lead the development of high-fidelity physics-based simulations for end-to-end missile flight and guidance validation. These simulations serve as a digital proving ground for our flight software, autonomy stack, and control systems-enabling us to iterate rapidly and validate in silico what would otherwise require expensive, slow, or impossible real-world testing.

You'll own simulation architecture, real-time physics integration, and testbed development. If you're comfortable writing performant simulation code in Rust and Python, and you're looking to do impactful work on a system that must work the first time, this is your chance.

Key Responsibilities:

Design high-performance 6-DOF flight and physics simulations

Build simulation components that replicate real-world dynamics and sensor behavior

Integrate guidance, navigation, and control (GNC) logic into full-stack simulations

Develop Monte Carlo, Hardware-in-the-Loop (HITL), and closed-loop test infrastructure

Collaborate closely with flight software, autonomy, and hardware teams to ensure simulation fidelity matches real-world constraints

Create tooling to support scenario authoring, data visualization, and performance analysis

Own simulation pipeline performance and determinism across a wide range of conditions Basic Qualifications:

Bachelor's degree in Computer Science or a related technical field

5+ years of experience building simulations or numerical modeling frameworks

Proficient in Rust and Python for performance-critical and test-driven development

Understanding of rigid body dynamics, kinematics, numerical integration, and physics

Experience building tools for flight dynamics, aerospace simulation, or autonomous systems Preferred Qualifications:

Experience with Monte Carlo testing, sensor emulation, and closed-loop control validation

Familiarity with real-time systems, latency-sensitive architectures, or distributed simulation

Experience deploying or validating autonomous systems (missiles, drones, satellites, or vehicles)

Familiarity with Rust game engines or physics libraries (e.g., Rapier, Bevy)

Exposure to 3D rendering for simulation visualization (e.g., WebGL, OpenGL, Three.js)

Contributions to aerospace open source or simulation frameworks (e.g., JSBSim, Gazebo)