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Modeling Simulation Jobs in Dallas, TX (NOW HIRING)

Simulation Engineer

Plano, TX ยท On-site +1

$65K - $140K/yr

You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated systems. You'll conduct simulation experiments, interpret results, and clearly communicate ...

Simulation Engineer

Plano, TX ยท On-site +1

$65K - $140K/yr

You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated systems. You'll conduct simulation experiments, interpret results, and clearly communicate ...

... model skills labs, and an engineering and innovations lab. BENEFITS UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed ...

Showing results 21-40

Modeling Simulation information

See Dallas, TX salary details

$38.6K

$100.2K

$142.6K

How much do modeling simulation jobs pay per year?

As of Aug 20, 2026, the average yearly pay for modeling simulation in Dallas, TX is $100,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $128,200.00 per year, depending on experience, location, and employer.

What is modeling and simulation?

Modeling and simulation is the process of creating and using digital models to represent real-world systems, processes, or phenomena in order to analyze and predict their behavior. Professionals in this field use specialized software and mathematical techniques to simulate scenarios, test hypotheses, and optimize performance without the risk or expense of real-world experimentation. This approach is widely used in industries such as engineering, defense, healthcare, and manufacturing to improve decision-making, training, and system design.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical skills, a solid foundation in mathematics and statistics, and typically a degree in engineering, computer science, or a related field. Familiarity with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valuable. Critical thinking, problem-solving, and effective communication are soft skills that help professionals interpret complex data and collaborate with multidisciplinary teams. These skills ensure accurate model development, insightful analysis, and successful application of simulations to real-world problems.

How do professionals in modeling simulation typically collaborate with cross-functional teams during a project?

Modeling Simulation professionals often work closely with engineers, software developers, analysts, and project managers to develop accurate models and simulations for various applications. Collaboration usually involves gathering requirements, integrating domain expertise, validating simulation results, and refining models based on feedback. Regular meetings and iterative development cycles are common, helping ensure that models align with project goals and stakeholder needs. This interdisciplinary approach is essential for delivering robust solutions and often leads to valuable learning and career growth opportunities.

What is the difference between Modeling Simulation vs Mechanical Engineer?

AspectModeling SimulationMechanical Engineer
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's or higher in mechanical engineering; often professional engineering license
Work EnvironmentSoftware development, research labs, engineering firmsManufacturing plants, design offices, R&D departments
Industry UsageDesign validation, system analysis, virtual prototypingProduct design, testing, manufacturing processes
Common Search/ComparisonModeling Simulation vs Mechanical Engineer

Modeling Simulation specialists focus on creating virtual models and running simulations to analyze system behaviors, often requiring programming skills and software expertise. Mechanical Engineers design, develop, and test physical products and systems, utilizing their engineering knowledge in practical applications. While both roles overlap in engineering principles, Modeling Simulation emphasizes virtual analysis, whereas Mechanical Engineering centers on physical product development.

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, with many roles preferring a master's degree or higher. Strong skills in programming languages such as C++, Python, or MATLAB, along with experience in simulation software and systems modeling, are essential. Gaining relevant experience through internships, certifications, or projects can improve job prospects in this specialized field.

Is modeling a high paying job?

Modeling can be a high-paying career for top professionals, especially those who work with major brands or in high-demand markets. However, income varies widely based on experience, market, and specialization, with many models earning modest wages early in their careers. Success often depends on factors like portfolio quality, networking, and market demand.

What cities near Dallas, TX are hiring for Modeling Simulation jobs?

Cities near Dallas, TX with the most Modeling Simulation job openings:

Infographic showing various Modeling Simulation job openings in Dallas, TX as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $100,240 per year, or $48.2 per hour.

Simulation Engineer

Kiongroup

Plano, TX โ€ข On-site, Remote

$65K - $140K/yr

Full-time

Re-posted 13 days ago


Job description

Dematic is seeking a Simulation Engineer to join our team in Grand Rapids, MI; Atlanta, GA; Plano, TX; or Milwaukee, WI, with a hybrid work schedule that combines on-site collaboration and remote flexibility.
You'll help design the future of warehouse automation by developing discrete-event simulation models that validate automated material handling concepts before implementation. Partnering with Solution Engineers, Project Managers, Sales teams, and customers, you'll evaluate system performance, analyze operational data, and provide insights that drive solution design and customer decisions.
You'll use simulation and 3D modeling tools, including AutoMod, to assess and optimize automated systems. You'll conduct simulation experiments, interpret results, and clearly communicate recommendations to both technical and non-technical audiences.
The ideal candidate has experience with simulation modeling, strong analytical and statistical skills, and proficiency in Python or another structured programming language. Experience with material handling, logistics, warehouse automation, AutoMod, Plant Simulation, or similar tools is highly valued.
If you enjoy solving complex problems, working with data, and helping bring innovative automation solutions to life, we'd love to hear from you.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:
  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:
  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:
  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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