Modeling and Simulation (M&S) Engineer

Applied Technology Solutions•Huntsville, AL

About The Position

Applied Technology Solutions, Inc. (ATS) is seeking a Modeling and Simulation (M&S) Engineer to provide analysis support for scientific and engineering programs, ranging from technology development to flight vehicle manufacturing and testing. As a member of an interdisciplinary design team, the engineer will use commercial and custom-built analysis tools to solve scientific and engineering problems. The role supports development and testing through modeling, simulation, multi-physics analysis, and custom software development.

Requirements

Bachelor’s degree in Physics, Mechanical Engineering, Aerospace Engineering, or a related technical field.
At least 4 years of experience performing modeling and simulation tasks using commercial or custom-built analysis tools.
Strong mathematics background, including linear algebra, differential equations, and statistics.
Working knowledge of analytical techniques used to solve static and dynamic structural problems.
Experience developing custom scripts or software tools in Python or MATLAB to perform data analysis.
Experience performing multi-physics analysis of components or subsystems.
Experience performing coupled structural analyses involving multiple simultaneous physical phenomena, such as aerothermal or thermo-structural analysis.
Experience performing both steady-state and transient analyses of physical systems and phenomena.
Experience using a continuum-level FEA solver or similar analysis software, such as ANSYS or Abaqus.
Excellent verbal and written communication skills.
Currently possess or have the ability to obtain a Security Clearance.
Must be a U.S. citizen or national.

Nice To Haves

At least 8 years of experience performing modeling and simulation tasks using commercial or custom-built analysis tools in support of system or product development.
Experience integrating multiple software tools using application programming interfaces (APIs) or custom software wrappers.
Experience performing statistical analysis to support testing, including determining design bounds, quantifying uncertainty, and identifying outliers.
Experience developing modeling and simulation solutions from first principles.
Experience performing computational fluid dynamics (CFD) analysis of high-speed flight vehicles.
Experience performing multi-physics analysis of flight vehicles.
Experience supporting prototyping or production of flight vehicles, missiles, or other defense systems through modeling and simulation.
Experience developing modeling solutions for reactive materials or media, including reactive flows, material phase changes, or material degradation.
Experience performing six-degree-of-freedom (6-DOF) flight vehicle trajectory modeling.
Experience performing balance-of-plant or unit operations system analyses for material or component production processes.
Experience developing and training machine learning tools to solve specialized engineering or scientific problems.

Responsibilities

Perform modeling and simulation activities to support technology development, engineering design, manufacturing, and testing.
Collaborate with an interdisciplinary design team to analyze components, subsystems, and physical systems.
Use commercial and custom-built analysis tools to solve scientific and engineering problems.
Apply mathematical methods, including linear algebra, differential equations, and statistics, to support engineering analysis.
Perform static and dynamic structural analyses using appropriate analytical and computational techniques.
Conduct multi-physics and coupled analyses involving simultaneous physical phenomena, including aerothermal and thermo-structural interactions.
Perform steady-state and transient analyses of physical systems and phenomena.
Use continuum-level finite element analysis (FEA) solvers, such as ANSYS or Abaqus, to evaluate component and subsystem behavior.
Develop custom scripts and software tools using Python or MATLAB to support modeling, simulation, and data analysis.
Support development and testing activities by interpreting analysis results and communicating technical findings to interdisciplinary team members.