Affordability Theory of Constraint TOC Engineer

RTX; Tucson (AZ); On-site; USD 63,000 - 120,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

RTX seeks an Affordability TOC Engineer to support Discrete Event Simulation, focusing on learning and applying TOC-based modeling to evaluate system behavior and identify constraints. The role collaborates with modelers and cross‑functional teams to develop inputs and analyze results driving critical decisions.

The position is onsite in Tucson, AZ, with opportunities to work with Affordability Leads, Systems Engineering, Operations, and Supply Chain teams to align simulations with evolving

Qualifications

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and less than 2 years of prior experience.
• 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.

Responsibilities

• 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.

Skills

Excel

Structured data

Python

MATLAB

R

Power BI

Tableau

JMP

Education

STEM degree

Tools

Python

MATLAB

R

Power BI

Tableau

JMP

Job description

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.

What You Will Do

• 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.

Qualifications 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.

Qualifications 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.

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 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.

The salary range for this role is 62,900 USD - 119,700 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.