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SAIC · 2 weeks ago

Machine Learning Modeling and Simulation Engineer

Chantilly, VA

Full-time

Onsite

Senior Level

5+ years exp

SAIC is seeking a Machine Learning Modeling and Simulation Engineer in Chantilly, VA. The successful candidate will develop and maintain physics-based simulation models of spacecraft systems and apply AI/ML techniques to enhance simulation fidelity and performance.

Information TechnologySecurityService IndustrySoftware

Work & Life Balance

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments

Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models

Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis

Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics

Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools

Apply Artificial Intelligence/Machine Learning (AI/ML) techniques (e.g., supervised/unsupervised learning, reinforcement learning, predictive modeling) to enhance simulation fidelity and performance

Develop AI/ML models to analyze and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data

Design and implement algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations

Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights relevant to satellite systems

Integrate AI/ML models into existing simulation frameworks and tools to enhance their capabilities

Qualification

Machine LearningModelingSimulationPythonSensor PhenomenologyStatistical AnalysisAerospace EngineeringPhysicsCommunication Skills

Required

Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience

3+ years of experience in modeling and simulation for aerospace or space systems

Active Top Secret/SCI w/Poly Clearance

Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods

Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial

Ability to communicate technical results clearly in written and verbal formats