Principal Simulation Analysis Engineer Onsite

RTX•Tucson, AZ

3d•$107,500 - $204,500•Onsite

About The Position

At RTX, the world 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. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. The Integrated Solutions, Modeling, and Architecture (ISMA) center assesses, develops, and evaluates solution architectures for our customers’ largest, most complex challenges across all the operational domains. In the Operations and Mission Analysis Department you’ll be part of a special team that analyzes the world’s most challenging threats and helps define new capabilities to counter them, pushing the boundaries of innovation, and leading the industry in operational modeling and simulation using our purpose-built software. As a team member in the Airborne Kill Chain AI/ML Section, you will join a high-performing team of engineers working with high-fidelity missile simulations to construct decision support systems used by the warfighter. We are currently recruiting a Principal Simulation Analysis Engineer for an onsite role in Tucson, AZ

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.
Experience with MATLAB or Python
Experience in at least two of the following: Systems engineering life cycle Software development and/or object-oriented design using C/C++ and/or Java. Artificial Intelligence (AI), Machine Learning (ML) and/or Surrogate Modeling Computation on high-performance computing (HPC)
The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a 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
4 years of relevant professional work experience leading a project team.
Prior experience in or with military, or substantive domain knowledge of tools and tactics of warfare
Prior experience with classified material
Active and transferable U.S. government issued SECRET or TOP SECRET security clearance

Responsibilities

Support/lead the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments.
Support/lead 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.
Support/lead the development, implementation, validation and testing of model-based solutions to power real-time combat decision aids and associated software.