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Modeling And Simulation Engineer Jobs in Tennessee

BNH

AI Engineer

Arnold Air Force Base, TN

$85K - $115K/yr

AI Engineer Location: Arnold AFB, TN Job Family Code: Digital Enterprise Function/Branch ... the Nation through modeling, simulation, and ground and flight test. Execution of the mission ...

BNH

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

AI Engineer Location: Arnold AFB, TN Job Family Code: Digital Enterprise Function/Branch ... the Nation through modeling, simulation, and ground and flight test. Execution of the mission ...

BNH

AI Engineer

Arnold Air Force Base, TN

$85K - $115K/yr

AI Engineer Location: Arnold AFB, TN Job Family Code: Digital Enterprise Function/Branch ... the Nation through modeling, simulation, and ground and flight test. Execution of the mission ...

BNH

AI Engineer

Arnold Air Force Base, TN · On-site

$85K - $115K/yr

AI Engineer Location: Arnold AFB, TN Job Family Code: Digital Enterprise Function/Branch ... the Nation through modeling, simulation, and ground and flight test. Execution of the mission ...

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Modeling And Simulation Engineer information

See Tennessee salary details

$35.4K

$112K

$172.9K

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

As of May 30, 2026, the average yearly pay for modeling and simulation engineer in Tennessee is $111,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $133,000.00 per year, depending on experience, location, and employer.

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

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 are Modeling and Simulation Engineers?

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 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.

What are popular job titles related to Modeling And Simulation Engineer jobs in Tennessee? For Modeling And Simulation Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Tennessee look for? The top searched job categories for Modeling And Simulation Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Modeling And Simulation Engineer jobs? Cities in Tennessee with the most Modeling And Simulation Engineer job openings:
Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Tennessee as of May 2026, with employment types broken down into 4% As Needed, 5% Full Time, and 91% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $111,999 per year, or $53.8 per hour.
Simulation AI Infrastructure Intern

Simulation AI Infrastructure Intern

Mclaurin Aerospace

Knoxville, TN • On-site

$16 - $20.75/hr

Internship

Posted 15 days ago

Job description

We are seeking an intern to help build a secure, containerized AI agent environment for modeling and simulation workflows.

The project involves integrating agentic CLI tools such as CloudCode, Hermes Agent, Gemini CLI, or similar frameworks with locally hosted LLMs using Ollama inside Docker containers. The goal is to create an AI-assisted engineering workspace capable of interacting with simulation repositories, documentation, configuration systems, and analysis workflows while remaining fully isolated from external networks.

Responsibilities

  • Install and configure AI agent CLI frameworks inside Docker

  • Connect agent frameworks to locally hosted LLMs through Ollama

  • Configure secure containerized environments with restricted/no network access

  • Build workflow tooling, commands, MCP tools/resources, and plugins tailored to simulation workflows

  • Integrate simulation documentation and engineering repositories into the agent workspace

  • Demonstrate the ability for the agent to:

    • Configure vehicle simulations

    • Execute workflows

    • Perform analysis and post-processing

Desired Qualifications

  • Familiarity with Docker and Linux

  • Python experience

  • Experience with CLI tooling and developer workflows

  • Interest in AI infrastructure and local/self-hosted LLM systems

  • Familiarity with Ollama, MCP tooling, or agentic AI frameworks is a plus

  • Experience with simulation, scientific computing, or aerospace workflows is a plus

Security Context

This work is performed in a high-security engineering environment. All AI tooling must operate within isolated Docker containers to prevent simulation code, vehicle data, and engineering artifacts from leaving the local environment.

Outcome

The final deliverable is a working AI agent harness capable of securely assisting with engineering modeling and simulation workflows entirely within a local containerized environment.

Additional Requirements & Commitments

  • Student positions require a minimum commitment of 20 hours per pay period
  • Some project phases may require additional time commitments; however, schedules are intentionally designed to support and accommodate academic responsibilities
  • Each intern will work closely with a technical mentor, ensuring alignment between assigned tasks and the student's academic and professional goals
  • This position is open to US citizen students residing in HUBZone qualified areas only. For more information on HUBZone qualification, see https://maps.certify.sba.gov/hubzone/map.