Simulation Analysis Engineer II Onsite

RTX•Tucson, AZ

10d•$68,900 - $131,100•Onsite

About The Position

Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments. Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios. Contribute your knowledge of performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems answering questions such as: what should be the next system improvement; what is the effectiveness of the missile against a single or multiple threats; or what counter measures should be considered to increase effectiveness and/or survivability and other operational performance related questions. Collaborate with team members and stakeholders to develop and implement analytic approaches that produce data to guide program decisions. Participate in the development, implementation, validation and testing of model-based solutions to power real-time combat decision aids and associated software.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 2 years of prior relevant experience unless prohibited by local laws/regulations.
Experience with Scripting (MATLAB, Python, etc.) and/or programming (C, C++, etc.)
Active and transferable U.S. government issued SECRET or TOP SECRET security clearance

Nice To Haves

Specific majors: Physics, Mathematics, Applied Mathematics, Data Science, Operations Research, Systems Engineering, Industrial Engineering, Computer Science, Aerospace Engineering, Computer/Electrical Engineering
Coursework, internship, projects or work experience in the following areas:
Simulation modeling, development, and/or analysis of physical systems
Knowledge of the systems engineering life-cycle model
Software development processes and object-oriented design using C/C++ and/or Java in either Unix or Linux computing environments.
Artificial Intelligence / Machine Learning (AI/ML) or Surrogate Modeling
Computation on high-performance computing (HPC) grids/clusters, SLURM
Prior experience in or with military, or substantive domain knowledge of tools and tactics of warfare
Prior experience with classified material

Responsibilities

Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments.
Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios.
Contribute your knowledge of performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems answering questions such as: what should be the next system improvement; what is the effectiveness of the missile against a single or multiple threats; or what counter measures should be considered to increase effectiveness and/or survivability and other operational performance related questions.
Collaborate with team members and stakeholders to develop and implement analytic approaches that produce data to guide program decisions.
Participate in the development, implementation, validation and testing of model-based solutions to power real-time combat decision aids and associated software.