Internship Physics Simulation Jobs in Frisco, TX

Date Posted:

2026-08-19

Country:

United States of America

Location:

US-AZ-TUCSON-805A ~ 1151 E Hermans Rd ~ BLDG 805A

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

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​

Security Clearance Type:

DoD Clearance: Top Secret

Security Clearance Status:

Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date

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

What You Will Do

• 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.

Qualifications You Must Have

• 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.

Qualifications We Prefer

• 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

Learn More & Apply Now

Please consider the following role type definition as you apply for this role. 

• Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. 

• Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm #LI-RH2

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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