Senior Radar Modeling Simulation Engineer Job Listing at SAIC in Chantilly, VA (Job ID 2611167)

Description

Description

SAIC has a funded need for a Senior Radar Modeling Simulation Engineer (Space Systems) to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA.

Note:  The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. – 3:00 p.m.).

Job Duties to include:

• Develop and maintain physics-based simulation models of RF systems for spacecraft and space domain awareness.
• Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
• Conduct radio frequency and radar sensing modeling and digital signal processing of radio frequency data
• Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
• Generate technical documentation, simulation reports, and visualizations to communicate findings and support design decisions.
• Support trade studies and design reviews by providing modeling insights into performance impacts of design changes.

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+)
• Active Top Secret/SCI w/Poly Clearance
• 4+ years of experience in system-level modeling and simulation for radar or communications systems for space vehicles preferred.
• Experience with high-fidelity modeling of radar systems, ideally with space domain awareness applications
• Strong understanding of sensor phenomenology for radio frequency and radar systems.
• Strong mathematics background and experience with control systems and state estimation
• Intermediate Python programming experience preferred. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
• Ability to communicate technical results clearly in written and verbal formats.