
location_onWest Kennedy Street, Barrio Viejo, Tucson, Pima County, Arizona, 85701, United States
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.
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 are looking for a Sr. Systems Engineer - Modeling Simulation & Analysis Engineer who enjoys solving complex problems, engaging in a dynamic team environment, and is eager to learn. As a member of our Performance Simulation teams, you will participate in challenging multi-disciplinary work across integrated product teams consisting of Guidance, Navigation & Control (GNC), Signal Processing, and missile-and-sensor-level Performance Simulations.
In this onsite role based in Tucson, AZ, you will help provide, develop, and maintain high-fidelity performance simulations, evaluate system performance, support new business initiatives, and develop and execute technology roadmaps. You will work on different projects, determine approaches and solutions, and provide development guidance throughout the product lifecycle from initial concept to fielded product.
This position requires onsite work in Tucson, AZ. 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.
Please consider the role type definition as you apply: Onsite roles work primarily onsite, as these employees are essential to the development of our products. RTX anticipates the application window closing approximately 40 days from the date the notice was posted, though business necessity may require us to shorten or extend this 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.
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX, we value Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Work model: On-site
West Kennedy Street, Barrio Viejo, Tucson, Pima County, Arizona, 85701, United States
Tucson, Arizona
Advanced degree in Engineering, Science, Mathematics, or related STEM degree. Experience using applied system engineering principles, experience working on a team and/or by yourself, interfacing with multiple engineering disciplines. Experience creating and/or presenting technical briefings. Experience developing signal processing / GNC algorithms or models for missile applications. Experience with control hardware design & test and/or hardware & software integration. Experience modeling physics and/or modeling physical systems as related to flight dynamics. Experience using UNIX / Linux based workstations and using Software Configuration Management tools such as Git. Course work or experience in radar, signal & image processing, radar and/or EO/IR environment models, digital communications, probability and statistics, linear algebra, estimation theory, optimal control, system architecture, inertial navigation, or guidance theory.