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About
Description
SAIC is seeking an experienced
Machine Learning Modeling and Simulation Engineer
to support a customer in Chantilly, VA. The successful applicant will demonstrate flexibility in task execution and provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. In this role, the successful candidate may also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation environments. As a trusted advisor, the candidate will be expected to provide value-added judgment and offer strategic recommendations to the customer on program objectives, advanced technologies, and system enhancements. The successful candidate will produce highly detailed, practical, and consistent deliverables that align with the organization's mission and objectives, with a focus on innovation and cutting-edge solutions in machine learning and simulation. 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.
Overview
SAIC accepts applications on an ongoing basis and there is no deadline.
SAIC® is a premier Fortune 500® 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, civilian and intelligence 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 24,000 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 $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
Languages
- English
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