Affordability Theory of Constraint (TOC) Engineer

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: 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. As the Affordability Theory of Constraint (TOC) Engineer , you will play a key role in supporting Raytheon’s Discrete Event Simulation (DES) capability. This role focuses on learning and applying TOC-based simulation modeling to evaluate system behavior, identify constraints, and support critical program milestones. You will collaborate with modelers and cross-functional teams to develop accurate inputs and analyze simulation results that drive impactful decision-making.   This is an onsite role located in Tucson, AZ.

Prepare and load structured model inputs, including Excel and database-driven datasets. Assist modelers in running discrete event simulations to analyze throughput, queue behavior, cycle time variation, and resource utilization. Identify emerging constraints and evaluate their impact on production flows, supply chain interactions, and sustainment activities. Perform data preparation, cleansing, and validation for parameters such as yields, routing definitions, process times, resource availability, and demand signals. Document assumptions, data sources, and configuration changes to maintain traceability. Participate in sensitivity analyses, scenario comparisons, and parameter sweeps under the guidance of senior staff. Generate preliminary plots, tables, and summaries from simulation outputs to support internal reviews. Collaborate with Affordability Leads, Systems Engineering, Operations, and Supply Chain teams to understand model inputs and interpret findings. Contribute to continuous model updates to align with evolving program conditions.

You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and less than 2 years of prior experience unless prohibited by local laws/regulations. Experience using engineering or analytical principles through coursework, analysis methods (e.g., optimization, simulation, process modeling), or project experience. Experience with Microsoft Excel. Experience with structured datasets.

We Prefer Exposure to simulation, modeling, statistics, or data-driven analysis through coursework or internship experience. Experience with tools such as Python, MATLAB, R, Power BI, Tableau, or JMP for basic data manipulation or visualization. Experience with basic manufacturing concepts such as cycle times, routing, resources, or yield behavior. Knowledge of systems engineering fundamentals or production/supply chain workflows.

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