TOC & Discrete-Event Simulation Engineer

RTX

Tucson (AZ)

On-site

USD 63,000 - 120,000

Full time

4 days ago
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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

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

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