Senior Theory of Constraint (TOC) Modeling Engineer

RTX Corporation; Tucson (AZ); Sur place; USD 96 000 - 182 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Onsite role in Tucson

Résumé du poste

RTX Corporation in Tucson, AZ is seeking a Senior Theory of Constraint Modeling Engineer to drive enterprise-level DES based insights. You will coordinate TOC modeling efforts, develop and validate complex simulation architectures, and collaborate with engineering and operations to ensure model fidelity and readiness metrics.

This onsite role requires security clearance readiness and offers opportunities to mentor others and shape affordability engineering practices within RTX.

Qualifications

• Degree in STEM is typically required, with 5+ years' relevant experience.
• Experience in DES and multi-product systems.
• Experience with data tools and structured datasets.
• Ability to interpret queueing dynamics and bottlenecks.

Responsabilités

• Lead onsite TOC modeling activities in Tucson, coordinating daily modeling tasks and data updates.
• Develop, modify, and validate discrete event simulation models and customize logic.
• Collaborate with cross-functional teams to define model boundaries and validate assumptions.
• Analyze and communicate system constraints, throughput impacts, and supply-demand interactions.
• Design and execute advanced experiments, scenario sweeps, and sensitivity analyses.
• Create and maintain model documentation, logs, and data reduction workflows.
• Present simulation outputs to leadership with clear technical explanations.
• Mentor modelers to grow TOC and DES expertise.

Connaissances

DES modeling

TOC expertise

Systems engineering

Python experience

Data analysis

Formation

Bachelor's degree in STEM

Outils

Python

Power BI

Tableau

JMP

C programming

Description du poste

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.

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.
• Experience with Python, Power BI, Tableau, and/or JMP, with experience customizing discrete event simulation models and modifying model logic (including C programming).

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 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.

Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm

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.

Privacy Policy and Terms: Click on this link to read the Policy and Terms RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon. Its 195,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, Virginia.