• Machine Learning Modeling and Simulation Engineer

    SAIC (Chantilly, VA)


    Description

    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, 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.

    Qualifications

    • 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.

    REQNUMBER: 2510926

    SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability