APEX TK is seeking a highly motivated and skilled Modeling & Simulation Engineer to join our team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.
Responsibilities:
- Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
- Develop and execute models and simulations of complex systems, with a focus on orbital mechanics and space-related applications.
- Utilize Python for model development, data analysis, and simulation execution.
- Leverage AFSIM (or similar aerospace simulation software) for analysis and performance prediction.
- Incorporate phenomenological modeling principles into relevant models and simulations, including but not limited to:
- Defining and representing relevant physical phenomena (e.g., atmospheric drag, solar radiation pressure, gravitational effects, sensor characteristics, material properties) within the simulation environment.
- Developing and implementing mathematical models to accurately capture the behavior of these phenomena.
- Validating the phenomenological models against empirical data and observations.
- Integrating the phenomenological models into the overall system simulation.
- Analyzing the impact of different physical phenomena on system performance and behavior.
Required Qualifications:
- Active TS/SCI clearance with Poly.
- Bachelor's degree in Aerospace Engineering or a related field.
- 5+ years of experience in modeling and simulation, preferably within the aerospace industry.
- Strong proficiency in Python programming.
- Familiarity with AFSIM or similar aerospace simulation tools.
- Solid understanding of orbital mechanics and space systems.
- Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Master's degree in Aerospace Engineering or a related field.
- Experience with other simulation tools and programming languages.
- Knowledge of cloud computing platforms (e.g., AWS, Azure).
- Location: On-site co-location with government client in Chantilly, Virginia.