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Modeling And Simulation Engineer Jobs in Tennessee

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Modeling And Simulation Engineer information

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$35.4K

$112K

$172.9K

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

As of Sep 13, 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 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 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 August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,999 per year, or $53.8 per hour.

Lead, Systems Engineer - Modeling & Simulation

Nashville, TN • On-site

L3HHCM20
See more jobs at L3HHCM20external

Full-time

Posted 25 days ago

Job description

Job Title:  Lead, Systems Engineer - Modeling & Simulation

Job Number: 42812

Job Location: Nashville, TN

Schedule:  9/80-Every other Friday off

Role is contingent upon Program award

Job Description:

ForceX is seeking an engineer to deliver mission-focused technical solutions from concept through deployment and sustainment. The role partners across disciplines to translate requirements into executable designs that meet performance, cost, and schedule objectives. This Systems Engineering role is focused on product and mission-system engineering, including requirements, architecture, integration, verification, and lifecycle technical execution. This level is a subject matter expert role with comprehensive job-area knowledge and deep project management capability.

The Lead, Systems Engineer - Modeling & Simulation role is focused on digital engineering, performance modeling, data analysis, and data-driven trade studies on VAMPIRE Counter-UAS product lines. The position helps the team understand system behavior, quantify uncertainty, and compare alternatives before committing to downstream design decisions. The role is intended for an engineer who can turn technical questions into structured analytical work and communicate results clearly to the IRAD team.

Essential Functions:

- Develop digital engineering artifacts that support system understanding and decision making.

- Build performance models to evaluate system behavior and sensitivities.

- Perform Monte Carlo analysis to assess uncertainty, margin, and risk.

- Conduct and document trade studies using analytical results.

- Coordinate assumptions, inputs, and outputs with cross-functional engineering stakeholders.

- Translate model results into actionable system-level recommendations.

- Maintain controlled analytical artifacts and supporting technical documentation.

- Execute engineering work products from requirements through verification and technical documentation.
- Collaborate with cross-functional teams to integrate hardware, software, and operational constraints into practical solutions.
- Conduct technical analysis, risk identification, and trade studies to support design decisions.
- Present technical status, issues, and recommendations in formal and informal reviews.
- Contribute to proposal, planning, and execution activities aligned to program milestones.
- Support compliance with customer, regulatory, and security requirements.
- Travel up to 25% to support integration, test, customer engagement, and program execution.
- Support work performed in a classified and or controlled environment.
- Perform technical planning, requirements decomposition, interface definition, and verification strategy for mission systems.
- Execute system integration, validation, and technical baselines across concept, design, fabrication, test, installation, operation, maintenance, and disposal.
- Lead or support design reviews, peer reviews, and technical interchanges.
- Produce and maintain system engineering artifacts including requirements traceability, risk registers, and verification evidence.
- Ensure system designs align with security and government compliance requirements.

Qualifications:

- Bachelor's Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
- Ability to obtain and maintain a DoD security clearance.
- 9+ years of experience in systems engineering methods across full lifecycle activities.
- 9+ years of experience with requirements management, risk management, and system integration and verification practices.

Preferred Additional Skills:

- Bachelor of Science in a STEM discipline preferred; Engineering preferred, Physics, Mathematics, and Computer Science acceptable.
- Demonstrated ability to work effectively in cross-functional engineering teams.
- Model-based systems engineering (MBSE) familiarity.
- Experience with multi-domain mission systems and secure architectures.
- Experience supporting government or defense technical reviews.
- Experience balancing technical, schedule, and cost constraints across system-level decisions.
- Ability to collaborate across software, hardware, mechanical, electrical, manufacturing, and program teams.
- Role scope expectation: Manages large, complex project initiatives of substantial importance with minimal oversight.
- Collaboration expectation: Communicates across organizational boundaries to explain and influence changes to technical practices and approaches

- Professional experience with analysis tool development & CM/DM

- Professional experience with SE analysis tools, such as MATLAB & Python

 

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