What are the responsibilities and job description for the Machine Learning Modeling and Simulation Engineer position at SAIC?
Job ID 2510926
Location CHANTILLY, VA, US
Date Posted 2025-10-21
Category Engineering and Sciences
Subcategory Modeling/Sim Engr
Schedule Full-time
Shift Day Job
Travel No
Minimum Clearance Required TS/SCI With Poly
Clearance Level Must Be Able to Obtain None
Potential for Remote Work No
Description
SAIC is seeking a Machine Learning Modeling and Simulation Engineer in Chantilly, VA.
The successful candidate will
Location CHANTILLY, VA, US
Date Posted 2025-10-21
Category Engineering and Sciences
Subcategory Modeling/Sim Engr
Schedule Full-time
Shift Day Job
Travel No
Minimum Clearance Required TS/SCI With Poly
Clearance Level Must Be Able to Obtain None
Potential for Remote Work No
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.
- 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.
