Senior Systems Engineer - Affordability Modeling and Simulation

Date Posted: 2026-10-28 Country: United States of America Location: US-AZ-TUCSON-800 ~ 1151 E Hermans Rd ~ BLDG 800 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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: Active and existing security clearance required after day 1 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. Join us and help shape the future of aerospace and defense. Affordability Engineering at Raytheon integrates technical performance, manufacturing behavior, supply chain dynamics, sustainment workflows, and readiness metrics into a unified cost and throughput framework that supports leadership decision-making across the full product lifecycle. As the Senior Systems Engineer – Affordability Modeling and Simulation, you will play a critical role in enabling enterprise-level insights through advanced Discrete Event Simulation (DES) modeling. The Senior Systems Engineer – Affordability Modeling and Simulation coordinates local efforts and ensures alignment with enterprise standards. You will collaborate across Systems Engineering, Operations, Supply Chain, and Manufacturing teams to deliver impactful modeling results that drive affordability, readiness, and throughput improvements. This is an onsite role based in Tucson, AZ. What You Will Do Lead onsite Theory of Constraint (TOC) modeling activities in Tucson, coordinating daily modeling tasks, priorities, and data updates across local stakeholders. Develop, modify, and validate discrete event simulation models, including customization of logic, resource networks, multi-contract/multi-product flows, and sustainment behaviors. Collaborate with cross-functional teams to define model boundaries, extract inputs, validate assumptions, and ensure alignment with real-world system behaviors. Analyze and communicate system constraints, throughput impacts, queueing behaviors, yield sensitivities, resource limitations, and supply-demand interactions. Design and execute advanced experiments, scenario sweeps, and sensitivity analyses to support affordability and readiness metrics. Create and maintain high-quality model documentation, assumption logs, configuration baselines, and traceable data reduction workflows. Present simulation outputs to program leadership, explaining operational, affordability, and readiness impacts with clarity and technical accuracy. Support continuous integration of updated program data, ensuring models reflect evolving factory, supplier, and sustainment realities. Mentor modelers through technical guidance, fostering growth in TOC methodology, DES fundamentals, and Affordability Engineering standards. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations. Experience in Systems Engineering, operations research, Industrial Engineering, and/or complex production system modeling. Experience with discrete event simulation (DES), designing, modifying, and/or validating complex simulation architectures involving multiple product flows. Experience with structured datasets (e.g., Excel, CSV, or databases). Experience interpreting queueing dynamics, resource utilization patterns, yield sensitivities, and/or systemic bottlenecks. Qualifications We Prefer Experience developing and analyzing multi-contract, multi-product, or system-of-systems simulation environments, including sustainment and lifecycle modeling. Experience with Python, Power BI, Tableau, and/or JMP, with experience customizing discrete event simulation models and modifying model logic (including C programming). Experience in scenario design, sensitivity studies, and optimization-based trade space exploration to support engineering and operational decision-making. Experience leading technical reviews, whiteboard sessions, and model walkthroughs with cross-functional stakeholders such as Engineering, Operations, and PMO teams. Experience delivering analytical models and insights for affordability planning, lifecycle cost assessments, and program strategy, with strong understanding of manufacturing, supply chain, and engineering lifecycles. What We Offer 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. Relocation Eligible – Relocation assistance is available. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect 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 95,500 USD - 181,700 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. #J-18808-Ljbffr