Simulation Analysis Engineer I (Onsite)

RTX•Tucson, AZ

4d•$57,200 - $108,800•Onsite

About The Position

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. This is an onsite Entry Level role in Tucson, AZ What You Will Do: As a Systems Engineer with Raytheon, you will support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments. You will contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios. You will 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. You will collaborate with team members and stakeholders to develop and implement analytic approaches that produce data to guide program decisions. You will participate in the development, implementation, validation and testing of model-based solutions to power real-time combat decision aids and associated software.

Requirements

0+ years of experience with a Bachelors degree in Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date.
Scripting (MATLAB, Python, etc.) and/or programming (C, C++, etc.) experience
Experience may be obtained through on-the-job experience, research, coursework, or projects.
Active and transferable U.S. government issued security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date.

Nice To Haves

Prior RTX internship, co-op, or work experience.
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 knowledge of performance engineering practices and procedures to evaluate work across a wide range of intriguing computational problems.
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.