Senior Theory of Constraint (TOC) Modeling Engineer

RTX (Raytheon); Tucson (AZ); On-site; USD 120,000 - 170,000; Full time

Job summary

RTX is seeking a Senior Theory of Constraint (TOC) Modeling Engineer for an onsite role in Tucson, AZ. You will lead discrete event simulation efforts across Systems Engineering, Operations, and Manufacturing to deliver affordability and readiness improvements.

You will develop and validate DES models, customize logic, analyze queueing dynamics, resources, throughput, and yield sensitivities, and mentor junior modelers while integrating program data updates and presenting results to leadership.

Qualifications

• Typically requires a STEM degree and 5+ years of relevant experience.
• Experience in Systems Engineering, operations research or industrial engineering.
• DES modeling experience with multi-product flows.
• Experience with structured datasets (Excel/CSV/databases).
• Ability to interpret queueing dynamics and bottlenecks.

Responsibilities

• Lead onsite 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 TOC methodology, DES fundamentals, and Affordability Engineering standards.

Skills

DES modeling

Systems Engineering

Operations research

Industrial Engineering

Queueing dynamics

Data analysis

Education

STEM degree

Tools

Python

Power BI

Tableau

JMP

C programming

Job description

Date Posted: 2026-10-15

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 Theory of Constraint (TOC) Modeling Engineer , you will play a critical role in enabling enterprise-level insights through advanced Discrete Event Simulation (DES) modeling.

The Senior Theory of Constraint (TOC) Modeling Engineer 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 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 a