Radar Modeling Simulation Engineer

SAICChantilly, VA
Hybrid

About The Position

SAIC has a funded need for a Radar Modeling Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs 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. As a senior technical contributor, you will design, develop, and refine high‑fidelity radar and RF system models that underpin mission architecture decisions across the NRO’s space enterprise. Your modeling and simulation products will inform spacecraft design, sensor performance, mission planning, and system‑of‑systems behavior—ultimately shaping how future space‑domain awareness and intelligence missions are executed. You will work at the intersection of physics‑based modeling, orbital mechanics, sensor phenomenology, and digital signal processing, producing insights that guide engineering trades, reduce technical risk, and strengthen mission assurance. Your analyses will be used by senior Government leaders, system architects, and program managers to evaluate design options, validate performance, and chart the path for next‑generation space capabilities.

Requirements

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

Responsibilities

  • Develop advanced RF simulations — Build, refine, and maintain physics‑based radar and RF system models that characterize spacecraft sensor performance, signal behavior, and space‑domain awareness capabilities.
  • Perform end‑to‑end mission modeling — Integrate orbital dynamics, environmental effects, sensor models, and system‑level interactions to evaluate mission performance across full operational scenarios.
  • Analyze radar and RF data — Conduct RF phenomenology modeling, radar sensing analysis, and digital signal processing to assess detection, tracking, and characterization performance.
  • Automate modeling workflows — Use Python, MATLAB, or similar tools to automate simulation pipelines, streamline data analysis, and interface between modeling environments for repeatable, high‑quality results.
  • Produce technical artifacts — Generate clear, defensible technical documentation, simulation reports, and visualizations that support engineering decisions, design 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.
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