Senior TOC Modeling Engineer — DES & Affordability Leader

RTX Corporation

Tucson (AZ)

On-site

USD 96,000 - 182,000

Full time

5 days ago
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Benefits offered by this job

Relocation assistance
Onsite role in Tucson

Job summary

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.

Responsibilities

  • 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.

Skills

DES modeling
TOC expertise
Systems engineering
Python experience
Data analysis

Education

Bachelor's degree in STEM

Tools

Python
Power BI
Tableau
JMP
C programming

Job description

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.

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