1

Modeling And Simulation Engineer Jobs in Indiana

... engineering questions. This role is the scientific engine behind Code MXM's modeling, simulation, and operations research work. KEY RESPONSIBILITIES * Construct, modify, and perform statistical ...

Showing results 41-60

Modeling And Simulation Engineer information

See Indiana salary details

$37.1K

$117.4K

$181.3K

How much do modeling and simulation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for modeling and simulation engineer in Indiana is $117,422.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $139,400.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What job categories do people searching Modeling And Simulation Engineer jobs in Indiana look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Indiana are:

What cities in Indiana are hiring for Modeling And Simulation Engineer jobs?

Cities in Indiana with the most Modeling And Simulation Engineer job openings:

Infographic showing various Modeling And Simulation Engineer job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $117,422 per year, or $56.5 per hour.

Digital Engineering / MBSE Systems Engineer

Crane, IN • On-site

Peerless Technologies
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees

Full-time

Re-posted 17 days ago


Job description

Peerless is searching for a highly motivated Digital Engineering / MBSE Systems Engineer to support and expand digital engineering capabilities at NSWC Crane. This role offers the opportunity to help shape and implement Model-Based Systems Engineering (MBSE) approaches within a growing, high-impact technical team supporting mission-critical defense initiatives.

The selected candidate will work closely with government stakeholders and multidisciplinary engineering teams to define system architectures, develop digital threads, and integrate MBSE with modeling and simulation environments. This position plays a key role in advancing digital engineering practices, toolchains, and standards while contributing to mission engineering, electronic warfare, and advanced simulation efforts.

Requirements

  • Experience with Model-Based Systems Engineering (MBSE) and digital engineering methodologies
  • Hands-on experience with SysML and MBSE tools (e.g., Cameo/NoMagic, Rhapsody, or similar)
  • Strong background in systems engineering, including requirements development, system architecture, integration, and verification & validation (V&V)
  • Ability to translate mission needs into structured models, architectures, and technical solutions
  • Experience collaborating with government customers and technical stakeholders
  • Ability to work across multidisciplinary engineering teams
  • Active TS/SCI clearance or ability to obtain one

Preferred Qualifications

  • Experience developing or managing digital engineering ecosystems and toolchains
  • Familiarity with DoD digital engineering strategies and open systems approaches
  • Experience integrating MBSE with modeling and simulation tools (e.g., AFSIM, MATLAB)
  • Background in Electromagnetic Spectrum Operations (EMSO), Electronic Warfare (EW), or RF systems
  • Experience with Agile development tools (JIRA, Confluence, Git, Teamwork Cloud)
  • Exposure to data analytics, AI/ML, or model-driven analysis environments
  • Experience supporting trade studies, Analysis of Alternatives (AoA), and design of experiments

Work Environment

  • On-site support near NSWC Crane (Bloomington, IN area)
  • Direct collaboration with government stakeholders and engineering teams
  • Opportunity to work in a small, high-impact technical team with strong growth potential

Why Peerless

  • Opportunity to shape and define digital engineering approaches, not just maintain existing models
  • High visibility role with direct impact on mission outcomes
  • Direct engagement with DoD customers and stakeholders
  • Continued investment in digital engineering, modeling & simulation, and mission engineering capabilities
  • Collaborative, low-overhead environment that values ownership and innovation