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Digital Twin Simulation Model Jobs in Indiana (NOW HIRING)

Miebach

Project Manager - Simulation

Fishers, IN · On-site

About the role As a Senior Consultant specializing in Simulation within our Engineering & Digital practice, you will lead the development and application of advanced simulation models to support the ...

Vergence

Simulation Engineer

Crane, IN · On-site

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN · On-site

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN · On-site

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Barbaricum

AFSIM Simulation Engineer

Crane, IN

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Pwc

Digital Manufacturing, Manager

Indianapolis, IN · On-site

$99K - $232K/yr

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

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All JobsDigital Twin Simulation Model JobsDigital Twin Simulation Model Jobs in Indiana

Digital Twin Simulation Model information

See Indiana salary details

$37.1K

$96.4K

$137K

How much do digital twin simulation model jobs pay per year?

As of Jun 27, 2026, the average yearly pay for digital twin simulation model in Indiana is $96,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $123,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What is a Digital Twin Simulation Model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

What are the key skills and qualifications needed to thrive as a Digital Twin Simulation Modeler, and why are they important?

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.
What are popular job titles related to Digital Twin Simulation Model jobs in Indiana? For Digital Twin Simulation Model jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Digital Twin Simulation Model jobs in Indiana look for? The top searched job categories for Digital Twin Simulation Model jobs in Indiana are:
What cities in Indiana are hiring for Digital Twin Simulation Model jobs? Cities in Indiana with the most Digital Twin Simulation Model job openings:
Digital Twin Simulation Model jobs near you

Project Manager - Simulation

Miebach

Fishers, IN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

About Miebach
Miebach Consulting is a global leader in supply chain advisory and engineering. For more than 50 years, we have partnered with organizations worldwide to design, optimize, and transform their supply chains into strategic competitive advantages. Our consulting approach integrates deep operational expertise, advanced analytics, and innovative thinking to deliver measurable business impact.
About the role
As a Senior Consultant specializing in Simulation within our Engineering & Digital practice, you will lead the development and application of advanced simulation models to support the design, optimization, and implementation of intralogistics systems. You will work closely with clients across various industries to analyze complex warehouse and production logistics processes, evaluate automation scenarios, and deliver data-driven recommendations.
This role requires a combination of strong analytical capabilities, technical programming skills, and supply chain expertise. You will act as a bridge between engineering, IT, and business stakeholders, translating complex simulation outcomes into actionable insights.
Key Responsibilities
Project Execution and Simulation Development
  • Develop, validate, and deploy discrete-event simulation models for intralogistics systems including warehouses, distribution centers, and production logistics environments
  • Analyze material flows, process interactions, and system performance to identify bottlenecks and improvement opportunities
  • Evaluate automation concepts including ASRS, conveyors, AMRs/AGVs, and robotic systems through simulation scenarios
  • Integrate WMS/WCS data and logic into simulation models to reflect real operational behavior
  • Perform scenario analysis to support capacity planning, investment decisions, and operational improvements

Data Analysis and Solution Design
  • Process, structure, and analyze large datasets to support simulation inputs and outputs
  • Translate client requirements into simulation logic and technical model design
  • Develop innovative and tailored solutions leveraging internal tools, programming capabilities, and industry best practices
  • Support business case development with quantitative insights and performance comparisons

Project Management and Client Interaction
  • Work directly with clients to understand operational challenges, define simulation scope, and align on objectives
  • Present simulation results and recommendations to both technical and non-technical stakeholders
  • Manage workstreams, timelines, and deliverables within projects
  • Ensure clear communication between internal teams (engineering, digital, consulting) and client stakeholders

Knowledge Development and Team Contribution
  • Contribute to the development of simulation methodologies, tools, and best practices
  • Mentor junior consultants and analysts on simulation techniques and intralogistics concepts
  • Stay up to date with emerging technologies in warehouse automation, simulation software, and digital supply chain solutions

Qualifications
Education and Experience
  • Bachelor's or Master's degree in Industrial Engineering, Supply Chain, Computer Science, or related field
  • 4-8+ years of relevant experience in supply chain consulting, intralogistics, or simulation modeling
  • Experience working on warehouse design, automation, or production logistics projects

Technical and Functional Skills
  • Strong knowledge of intralogistics processes including warehousing, material handling, and automation systems
  • Familiarity with WMS, WCS, and yard management systems
  • Experience with simulation tools (preferably Plant Simulation, or similar e.g., AnyLogic, FlexSim) is strongly preferred
  • Proficiency in programming languages such as Python, Java, C++, or similar
  • Strong data analysis capabilities and experience working with large datasets

Core Competencies
  • Strong analytical thinking and structured problem-solving skills
  • Ability to understand new industries, technologies, and client environments quickly
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences
  • Client-oriented mindset with strong interpersonal skills
  • Ability to work in cross-functional and international teams

Why Join Miebach?
  • Flexible work hours & hybrid/remote options
  • Competitive compensation + performance-based bonuses
  • Comprehensive health benefits (medical, dental, vision)
  • Career development programs & international training
  • Flexible PTO, generous parental leave, and paid holidays
  • 401(k) contributions & financial wellness programs

Apply