Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Experience with Discrete Event Simulation modeling
The Industrial Engineer Intern joins the Operational Excellence team to analyze and improve manufacturing line performance using Discrete Event Analysis and Lean methodologies.
Locations (4)
Tempe, Arizona, United States
San Jose, California, United States
San Francisco Bay area, California, United States
New York City, New York, United States
Compensation
$20.91 - $56.97 / hourly. For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $25.96 - $67.07/ hourly
Operations Research Engineers function as internal consultants to support improved decision-making by developing models using operations research methods, such as mathematical optimization and stochastic simulation.
Responsibilities
Participate in the scoping of business problems to apply operations research methods
Work with key contacts to identify and translate data requirements which represent the system and constraints to be modeled
Develop custom mathematical optimization and/or stochastic simulation models by applying linear programming, mixed-integer programming, system dynamics simulation, and/or discrete event simulation
Proactively drive cross-functional alignment across organizations to validate model solution quality
Create documentation to explain how the operations research methods are applied, and conduct reviews with senior technical professionals to ensure technical quality
Requirements
Master’s degree or Ph. D. preferred in Industrial Engineering or Operations Research or Applied Mathematics or relevant Engineering field with specialization in Operations Research methods
Develop AutoCAD/Revit drawings for equipment installations, de-facilitations, and relocations. Maintain timely ramp plan layouts that accurately display all planned tool activity and outlines ways to optimize existing and future equipment layouts.
Responsibilities
Develop AutoCAD/Revit drawings for all equipment installations, de-facilitations, and relocations.
Maintain timely ramp plan layouts that accurately display all planned tool activity and outlines ways to optimize existing and future equipment layouts.
Represent fab areas and coordinate design relocations, upgrades, remodels, and expansions.
Partner with key collaborators to develop and drive improvements to key performance metrics.
Identify project requirements, develop timelines and business processes, and hold collaborators accountable for deliverables to meet project objectives.
Requirements
Master’s degree in Industrial Engineering or related field
Develop AutoCAD/Revit drawings for equipment installations, de-facilitations, and relocations. Maintain ramp plan layouts to optimize equipment and coordinate design relocations, upgrades, and expansions within fab areas.
Responsibilities
Develop AutoCAD/Revit drawings for all equipment installations, de-facilitations, and relocations.
Maintain timely ramp plan layouts that accurately display all planned tool activity and outlines ways to optimize existing and future equipment layouts.
Represent fab areas and coordinate design relocations, upgrades, remodels, and expansions.
Partner with key collaborators to develop and drive improvements to key performance metrics.
Identify project requirements, develop timelines and business processes, and hold collaborators accountable for deliverables to meet project objectives.
Requirements
Master’s degree in Industrial Engineering or related field
Lead a cross‑site team of simulation and modeling engineers to develop digital twins, optimize laboratory workflows, and support automation system integration within Roche Diagnostics.
Responsibilities
Lead and coach a distributed team of simulation engineers
Develop and maintain simulation software platforms and model libraries
Translate high‑level goals into actionable team priorities
Collaborate with sub‑chapter and other team leads on strategy and roadmap
Ensure compliance with training, quality, and employment regulations
Requirements
Bachelor’s or Master’s degree in Systems Engineering, Computer Science, Industrial Engineering, Operations Research, Physics, Mathematics, Mechatronics, or related discipline
Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Responsibilities
Develop, enhance, test, and maintain Discrete Event Simulation models using Siemens Tecnomatix Plant Simulation and SimTalk.
Translate manufacturing and business requirements into simulation models, process logic, objects, parameters, and simulation scenarios.
Develop detailed models for manufacturing plants, production lines, assembly operations, warehouses, intralogistics, and material-flow systems.
Model manufacturing processes including BIW, paint, trim & final assembly, EV/battery manufacturing, buffers, sequencing, downtime, rework, and quality constraints.
Develop simulation logic for AGVs/AMRs, conveyors, forklifts, tugger trains, ASRS, warehouse automation, and material-handling systems.
Custom Software Engineering Lead focused on Siemens Tecnomatix Plant Simulation development
Responsibilities
Develop, enhance, test, and maintain Discrete Event Simulation models using Siemens Tecnomatix Plant Simulation and SimTalk
Translate manufacturing and business requirements into simulation models, process logic, objects, parameters, and scenarios
Develop detailed models for manufacturing plants, production lines, assembly operations, warehouses, intralogistics, and material‑flow systems
Model manufacturing processes including BIW, paint, trim & final assembly, EV/battery manufacturing, buffers, sequencing, downtime, rework, and quality constraints
Develop simulation logic for AGVs/AMRs, conveyors, forklifts, tugger trains, ASRS, warehouse automation, and material‑handling systems
Requirements
Bachelor's degree in Engineering, Industrial Engineering, Mechanical, Manufacturing, Mechatronics, Automation, Production Engineering, Computer Science, or a related discipline
Custom Software Engineering Lead for Siemens Tecnomatix Plant Simulation
Responsibilities
Develop, enhance, test, and maintain Discrete Event Simulation models using Siemens Tecnomatix Plant Simulation and SimTalk
Translate manufacturing and business requirements into simulation models, process logic, objects, parameters, and scenarios
Develop detailed models for manufacturing plants, production lines, assembly operations, warehouses, intralogistics, and material‑flow systems
Model manufacturing processes including BIW, paint, trim & final assembly, EV/battery manufacturing, buffers, sequencing, downtime, rework, and quality constraints
Develop simulation logic for AGVs/AMRs, conveyors, forklifts, tugger trains, ASRS, warehouse automation, and material‑handling systems
Requirements
Bachelor's degree in Engineering, Industrial Engineering, Mechanical, Manufacturing, Mechatronics, Automation, Production Engineering, Computer Science, or a related discipline
Support Factory Simulation projects across Industrial & Electrical sector sites, develop and maintain Discrete Event Simulation models, analyze manufacturing inputs, and collaborate with cross-functional teams to optimize production processes.
Responsibilities
Develop and maintain Discrete Event Simulation models for manufacturing lines, cells, and factory operations using ProModel or comparable simulation platforms.
Collect and analyze manufacturing inputs such as demand, production routing, cycle time, changeover time, equipment availability, labor allocation, buffer capacity, shift patterns, and material movement.
Work with manufacturing sites and project teams to verify that simulation inputs, operating assumptions, constraints, and production scenarios are accurate and traceable.
Support production line design and line-balancing studies based on demand, takt time, process sequence, cycle time, workstation requirements, operator allocation, and equipment capacity.
Develop current-state and proposed-state process-flow representations for manufacturing lines and cells.