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Flexsim Modeling Simulation Jobs (NOW HIRING)

Northrop Grumman Corporation

$89K - $134K/yr

Experience with factory simulation / modeling (e.g. FlexSim) * Ability to obtain and maintain a DoD Secret Clearance. U.S. Citizenship is required. Basic Qualifications for Principal Industrial ...

Shield AI

Staff Engineer, Industrial (R4300)

Dallas, TX

$120K - $190K/yr

Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

Shield AI

Staff Engineer, Industrial (R4300)

Dallas, TX · On-site

$120K - $190K/yr

Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

Shield AI

Staff Engineer, Industrial (R4300)

Dallas, TX · On-site

$120K - $190K/yr

Produce detailed 2D layouts and 3D/VR models with utilities, rack placement, POUs, FIFO lanes ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

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All JobsFlexsim Modeling Simulation Jobs

Flexsim Modeling Simulation information

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$39K

$101.3K

$144K

How much do flexsim modeling simulation jobs pay per year?

As of Jul 18, 2026, the average yearly pay for flexsim modeling simulation in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a FlexSim Modeling Simulation Specialist, and why are they important?

To thrive as a FlexSim Modeling Simulation Specialist, you need a strong background in industrial engineering, systems analysis, and simulation methodologies, often supported by a relevant degree. Proficiency with FlexSim software, data analysis tools, and possibly programming languages like C++ or Python is typically required. Analytical thinking, problem-solving abilities, and effective communication are important soft skills for collaborating with stakeholders and interpreting simulation results. These skills ensure accurate modeling, insightful analysis, and actionable recommendations to optimize complex systems.

What is Flexsim modeling simulation?

Flexsim modeling simulation is the use of FlexSim software to create digital representations of real-world processes, systems, or facilities for the purpose of analysis, optimization, and decision support. FlexSim is a powerful, 3D simulation tool commonly used in industries such as manufacturing, logistics, healthcare, and supply chain management. By building virtual models, users can test scenarios, visualize operations, identify bottlenecks, and improve efficiency without the risks or costs associated with physical experimentation. This helps organizations make informed decisions and optimize their processes before implementing changes in the real world.

What are some common challenges faced by professionals working in Flexsim modeling simulation roles?

Professionals in Flexsim modeling simulation often encounter challenges such as accurately representing complex real-world systems, managing large datasets, and ensuring model validation and verification. Collaborating closely with cross-functional teams—such as engineers, operations managers, and IT specialists—is crucial to gather accurate input data and interpret simulation results effectively. Additionally, adapting to evolving project requirements and communicating technical insights to non-technical stakeholders are important aspects of the role. Overcoming these challenges requires strong analytical skills, effective communication, and continuous learning to stay updated with the latest simulation techniques.

What is the difference between Flexsim Modeling Simulation vs Manufacturing Engineer?

AspectFlexsim Modeling SimulationManufacturing Engineer
Required CredentialsDegree in Engineering, Computer Science, or related field; knowledge of simulation softwareBachelor's in Mechanical, Industrial, or Manufacturing Engineering; relevant certifications
Work EnvironmentSoftware development, process analysis, and simulation labsFactory floors, production lines, and plant management
Industry UsageManufacturing, logistics, healthcare, and supply chain sectorsManufacturing plants, assembly lines, and industrial facilities
Common Search/ComparisonYesYes

Flexsim Modeling Simulation specialists focus on creating digital models to analyze and optimize manufacturing processes, often working in software environments. Manufacturing Engineers apply engineering principles directly on production lines to improve efficiency and quality. While both roles support manufacturing operations, Flexsim Modeling Simulation emphasizes simulation and process analysis, whereas Manufacturing Engineers focus on real-world process implementation and improvement.

More about Flexsim Modeling Simulation jobs
What cities are hiring for Flexsim Modeling Simulation jobs? Cities with the most Flexsim Modeling Simulation job openings:
What states have the most Flexsim Modeling Simulation jobs? States with the most job openings for Flexsim Modeling Simulation jobs include:
What job categories do people searching Flexsim Modeling Simulation jobs look for? The top searched job categories for Flexsim Modeling Simulation jobs are:
Flexsim Modeling Simulation jobs near you
Infographic showing various Flexsim Modeling Simulation job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 35% Internship, 38% As Needed, 19% Full Time, 1% Contract, and 6% Summer. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.
Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Quantum World Technologies Inc

Pittsburgh, PA • On-site

$68K - $91K/yr

Full-time

Re-posted 7 days ago

Job description

Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Location: Pittsburg, PA

Onsite/ Hybrid / Remote: Onsite

Role Overview

  • The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.
  • This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decision making across factory and site operations. The ideal candidate will combine strong industrialengineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

Key Responsibilities

  • Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
  • Build and maintain capacity models (target vs. forecast vs. gated capacity), incorporating cycle time, OEE, yield losses, and bottleneck analysis
  • Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
  • Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
  • Lead COGS modeling, including labor, overhead, scrap, and process-driven cost components
  • Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities
  • Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
  • Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow
  • Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
  • Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies
  • Support factory layout, site planning, and material flow decisions through data-driven insights and modeling
  • Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
  • Utilize and/or develop factory simulation models (e.g., FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance
  • Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
  • Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance,
  • Engineering) to align models with real-world constraints and business needs
  • Translate complex analytical outputs into clear, executive-level insights and recommendations
  • Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making

AI & Data Systems

  • Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
  • Design and manage scalable data models and data architecture for IE, capacity, labor, PFEP,and cost analytics
  • Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting
  • Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools
  • Enable predictive analytics and intelligent decision-making for capacity, throughput, and cost optimization
  • Establish best practices for data quality, model standardization, and system integration across the organization

Basic Qualifications

  • Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
  • Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles

Preferred Qualifications

  • Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow
  • Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing
  • Hands-on experience with PFEP, material flow optimization, and warehouse integration
  • Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)
  • Strong experience in business case development (ROI, IRR, NPV)
  • Knowledge of COGS modeling, cost structures, and financial impact analysis
  • Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar)
  • Familiarity with AI/ML applications in manufacturing analytics (preferred)
  • Familiarity with lean manufacturing and continuous improvement methodologies

Key Skills & Competencies

  • Strong analytical and problem-solving skills with a data-driven mindset
  • Ability to build scalable models and analytics systems that support both tactical and strategic decisions
  • Strong communication skills to translate complex data into actionable insights
  • Ability to work across cross-functional teams and influence decision-making
  • Attention to detail with a systems-level understanding of manufacturing operations
  • Ability to manage multiple projects and priorities in a fast-paced environment