Senior Systems Engineer - Affordability Modeling and Simulation
Quick Summary
The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S.
Requirements
~1 min read- 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 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 assessments, and program strategy, with strong understanding of manufacturing, supply chain, and engineering lifecycles.
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.
Responsibilities
~1 min read- →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.
Click on this link to read the Policy and Terms
What We Offer
~1 min readLocation & Eligibility
About this job
- Posted
- 18 days ago
Listing Details
- Posted
- October 15, 2026
- First seen
- October 16, 2026
- Last seen
- November 2, 2026
Posting Health
- Days active
- 16
- Repost count
- 0
- Trust Level
- 24%
- Scored at
- November 2, 2026
Signal breakdown
Browse Similar Jobs
Stay ahead of the market
Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.
No spam. Unsubscribe at any time.