Radar RF Signals Modeling and Simulation Engineer

SAIC has a funded need for a Radar RF Signals Modeling and Simulation Engineer (Space Systems) to support an expanding Government Intelligence Community (IC) customer within the National Reconnaissance Office (NRO) in Chantilly, VA.

This position offers a flexible work schedule, with core collaboration hours from 10:00 a.m. – 3:00 p.m., allowing you to balance mission demands with personal flexibility while still engaging deeply with a world‑class engineering team.

Clearance Requirements: Top Secret/SCI with the ability to obtain a Poly.  (Note: The current Security Clearance must be held by an IC Customer.) 

Role Overview

As a senior technical contributor, you will analyze and design high-‑fidelity ground-based radar RF signal models of great importance to the NRO. Your modeling and simulation products will inform spacecraft and sensor design, mission planning, and system-of-systems behavior.  Some work will also require modeling and simulation of space-based radar systems.

You will work at the intersection of radar signal modeling, sensor phenomenology, digital signal processing and orbital mechanics, producing insights that will guide the design and operation of future NRO satellites. Your analyses will be used by senior Government leaders, system architects, and program managers to evaluate spacecraft design options and chart the path for next-generation‑ space capabilities.

Key Responsibilities to include:

• Develop advanced RF simulations — Build, refine, and maintain physics-based‑ RF signal models of ground-based radars. Additional modeling work will support space-based radar payload design, acquisition and operations decisions.
• Perform end-to-end mission modeling — Integrate orbital dynamics and system-level interactions to evaluate mission performance across full operational scenarios.
• Automate modeling workflows — Use existing advanced custom MATLAB tools, develop related new modeling tools using one or more of MATLAB, Python, C, or similar tools.  Streamline data analysis for repeatable, high quality results.
• Produce technical artifacts — Generate clear, defensible technical documentation, simulation reports, and visualizations that support engineering decisions, analysis reviews, and customer briefings.
• Support design reviews & trade studies — Provide modeling-driven insights that quantify performance impacts, evaluate design alternatives, and inform system-level tradeoffs across spacecraft and mission architectures.