Modeling and Simulation Engineer

District Partners is supporting a leading national security engineering organization developing next-generation autonomous systems, advanced sensing platforms, and high-performance mission software. Their work pushes into autonomy, AI-driven perception, distributed systems, and physics-based simulation for complex environments. This is a high-impact engineering role supporting a flagship program that blends hardware, software, and real-time mission operations.

The Modeling and Simulation Engineer designs and maintains high-fidelity virtual models for a range of aerospace, ground, and sensing systems. These models support software-in-the-loop and hardware-in-the-loop environments, algorithm development, system verification, and large-scale simulation runs. You'll shape how mission-critical platforms are evaluated, tested, and deployed-both internally and with government end users.

The environment moves fast, expectations are high, and decisions matter. This is for someone who thrives in ambiguity, solves problems without waiting for perfect inputs, and makes sound engineering choices under pressure.

What You'll Do:

Build and maintain high-fidelity models for air, ground, and sensing platforms

Develop and integrate SITL and HITL simulation environments

Support guidance, navigation, and control algorithm development and test

Run Monte Carlo simulations and analyze performance across scenarios

Create tooling for simulation data processing, analysis, and correlation

Work across systems, autonomy, perception, and hardware engineering teams

Partner with internal stakeholders and government customers to define simulation needs

Troubleshoot complex issues and deliver reliable, production-ready solutions

What You'll Have:

Active Top Secret clearance

Bachelor's degree or higher in engineering, CS, physics, math, or related technical field

Experience with aerospace or autonomous vehicle systems (rotorcraft, VTOL, fixed-wing, etc.)

Strong understanding of platform physics, flight dynamics, and control theory

Proficiency in C/C++

Advanced experience with scientific computing tools (MATLAB, Simulink, NumPy/SciPy)

Experience processing flight-test data and correlating against simulation results

Experience developing subsystem and system-level models for complex platforms

Preferred to Have:

Advanced proficiency in C/C++ and Python

Experience supporting live flight tests

Experience designing or deploying SITL/HITL infrastructure for multi-domain systems

Experience building emulation or simulation interfaces for onboard electronics

Location: Washington, DC (onsite)

Clearance: Active Top Secret required

Comp: $191K-$253K total package (base/bonus/equity mix depending on background)