Analysis Skills, Antenna, C Programming Language, Data Analysis, Design Evaluation, Digital Signal Processing (DSP), Electrical Engineering, Electromagnetism, Emerging Technology, Government, Government Intelligence, Information Technology & Information Systems, Integrated Circuits (ICs), Intelligence Community, MATLAB, Mathematics, National Reconnaissance Office (NRO), Options Analysis, Performance Analysis, Physics, Professional Services, Project/Program Management, Python Programming/Scripting Language, Radio Frequency, Sales Presentation, Security Clearance, Sensitive Compartmented Information (SCI), Simulation, System Architecture, Systems Engineering, Technical Support, Technical Writing, Top Secret Clearance, Trade Studies, Wheel/Front-End Loader, Work From Home
Radar RF Signals Modeling and Simulation Engineer
Job ID: 2613407
Location: Chantilly, VA, United States
Date Posted: Jun 5, 2026
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI_wPoly
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: On-Site
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Job Description
Description
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.
Qualifications
Required Education and Experience
- Bachelor''s degree in Electrical Engineering, Physics, or a related field with 9+ years of professional technical experience (Master's degree with 7+ years, or PhD with 4+)
- 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.)
- Radar signal modeling experience - 4+ years of system-level modeling and simulation for radar signals (preferred).
- High ‑fidelity radar modeling - Experience developing or evaluating high fidelity radar signal models
- Sensor phenomenology expertise - Strong understanding of radar phenomenology, electromagnetic propagation and antennas
- Mathematics & estimation - Solid foundation in applied math and state estimation techniques used in modeling and simulation.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
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Science Applications International Corp
SAIC is a premier Fortune 500® technology integrator driving our nation's digital transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, IT modernization, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.
We are a team of 26,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.