2026 Modeling Simulation & Analysis Engineer I- Onsite

RTX•Tucson, AZ

1d•Onsite

About The Position

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. 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. Job Summary: Raytheon engineers develop the next generation of defense technologies that support our military and protect our nation and allies. We are the world’s leader in developing cutting edge defense technologies through simulation-driven virtual environments. Our software products empower the next generation of innovative weapons systems and advanced AI/ML solutions. We’re looking for engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. This is an onsite role in Tucson, AZ

Requirements

Requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree
Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets
Experience developing or simulating physical systems
Experience in modeling, simulation, statistics, or analysis for existing or proposed engineering solutions
This position requires 12 months or less of relevant professional work experience (excluding internships).
Active and transferable U.S. government issued Secret security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Active and transferable U.S. government issued Secret security clearance is required prior to start date.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Nice To Haves

3.0 cumulative GPA desired
College coursework covering object-oriented programming with proficiency in Linux or Unix
Knowledge/course work of radar, signal & image processing, digital communications, control theories, estimation theory and/or electro optics.
Knowledge of physics, random variables, and its application to solving engineering problems.
Current/Active DoD security clearance or SSBI.

Responsibilities

You will execute and analyze simulations in a high-performance computing environment, which can include the use of Graphics Processing Units (GPUs), to support missile system design/trade studies, performance assessment, and system test.
You will work within a team to develop analysis of the data for the specific task as well as provide insight and understanding of the system performance, recognizing and troubleshooting any anomalies observed in the simulation results
You will ensure the solutions provided meet their defined requirements and function as needed through rigorous verification and validation. This activity utilizes data from a number of sources up to and including system level flight testing.

Benefits

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.
Relocation eligible
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.
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.

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