Proficiency in Python, MATLAB, or other scripting languages for data engineering, analysis, and automation.
Experience handling large-scale, multi-dimensional array datasets in technical or scientific environments.
Demonstrated ability to perform meticulous verification and validation of complex technical datasets.
Proficiency in systematic root-cause analysis to isolate variables and trace errors in simulations and tools.
Ability to read, parse, and debug legacy and custom code, including undocumented in-house tools and scripts.
Skill in parsing complex log files, console outputs, and stack traces to identify and resolve errors.
Capability to detect and correct silent data or simulation failures that produce incorrect physical or mathematical results.
Foundational understanding of aerothermodynamics, radiative transfer, fluid dynamics, and molecular spectroscopy.
Foundational understanding of data analysis concepts and methodologies.
Basic conceptual understanding of flight dynamics and aerodynamics.
Experience with atmospheric modeling codes such as MODTRAN.
Experience with JANNAF radiative signature codes.
Experience working in Linux-based distributed computational environments.
Bachelor of Science degree in Aerospace Engineering, Mechanical Engineering, Physics, Optical Sciences, or a related STEM field.
Strong experience in mathematics, physics, or engineering.
Experience in modeling, simulation, and automation, particularly in technical or defense-related domains.