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Simulation Engineer Jobs in Fort Worth, TX (NOW HIRING)

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to ...

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

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 ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

MS or BS in Computer Science,Math, Physics, Information Science, Engineering or other related field Skills * Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc

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All JobsSimulation Engineer JobsSimulation Engineer Jobs in Fort Worth, TX

Simulation Engineer information

See Fort Worth, TX salary details

$35.1K

$110.9K

$171.2K

How much do simulation engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for simulation engineer in Fort Worth, TX is $110,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $131,700.00 per year, depending on experience, location, and employer.

What is a simulation engineer?

A simulation engineer works on complex engineering projects to create simulations for testing the performance of proposed solutions. In this career, your job duties include developing simulation approaches for testing the project, monitoring the simulation in the test environment, and analyzing the results of the test. The qualifications needed for a career as a simulation engineer include a bachelor's degree in engineering. However, some employers prefer a master's degree. You also need strong analytical skills and experience working with experimental projects.

What are the key skills and qualifications needed to thrive as a simulation engineer, and why are they important?

To thrive as a Simulation Engineer, you need a solid background in engineering principles, mathematics, and computer science, typically supported by a relevant degree. Proficiency in simulation software such as MATLAB, Simulink, ANSYS, or similar tools, along with knowledge of programming languages like Python or C++, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and collaborate with multidisciplinary teams. These skills are crucial for accurately modeling complex systems, optimizing designs, and ensuring project success.

How does a simulation engineer typically collaborate with cross-functional teams during a project?

Simulation Engineers frequently work alongside design, testing, and manufacturing teams to ensure that virtual models accurately reflect real-world scenarios. They collaborate closely during the early stages to interpret project requirements and share simulation results to guide design decisions. Regular meetings and iterative feedback loops are common, helping to integrate simulation insights throughout the product development lifecycle. This collaborative environment not only enhances the quality of final products but also provides Simulation Engineers with exposure to diverse technical perspectives.

What is the difference between Simulation Engineer vs Mechanical Design Engineer?

AspectSimulation EngineerMechanical Design Engineer
Required CredentialsBachelor's or Master's in Mechanical, Aerospace, or related fields; proficiency in simulation softwareBachelor's or Master's in Mechanical Engineering; CAD software skills
Work EnvironmentDesign labs, simulation centers, R&D departmentsDesign offices, manufacturing facilities, prototyping labs
Industry UsageAutomotive, aerospace, electronics, manufacturingAutomotive, consumer products, machinery, aerospace
Common Search/ComparisonSimulation Engineer vs Mechanical Design Engineer

The main difference between a Simulation Engineer and a Mechanical Design Engineer lies in their focus areas. Simulation Engineers specialize in creating and analyzing virtual models to predict product performance, while Mechanical Design Engineers focus on designing and developing physical components and systems. Both roles often collaborate but serve distinct functions within engineering projects.

Are simulation engineers in demand?

Simulation engineers are in demand across industries such as aerospace, automotive, and defense, as companies increasingly rely on simulation tools like MATLAB, Simulink, and ANSYS for product development and testing. The role requires strong technical skills, knowledge of modeling and analysis, and often a background in engineering or computer science. Job growth is driven by technological advancements and the need for cost-effective, efficient testing methods.
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What are the most commonly searched types of Simulation Engineer jobs in Fort Worth, TX?

The most popular types of Simulation Engineer jobs in Fort Worth, TX are:

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Simulation Engineer jobs near you
Infographic showing various Simulation Engineer job openings in Fort Worth, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,921 per year, or $53.3 per hour.

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Re-posted 5 days ago

Job description

Simulation Engineer, Irving, TX

As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to conduct many what-if ' scenarios pertaining to a given use case/strategy.

Experience

  • 5+ years of experience in designing and developing enterprise-level digital twin modeling, simulation, and optimization solutions
  • 3+ years with System dynamics, Discrete events and Agent based modeling using tools such as AnyLogic
  • MS or BS in Computer Science, Math, Physics, Information Science, Engineering or other related field

Skill

  • Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc
  • Experience/ familiarity in building and engineering digital twins solutions with simulation techniques
  • Knowledge of Artificial Intelligence and machine learning (AI/ML) techniques
  • Experience in data driven approach to analyze problems and deliver robust, optimized solutions
  • Experience with various database technologies like RDBMS, Big Data technologies
  • Experience with Java, Python, C+
  • Experience working with BI tools like Tableau, Looker, Qlik, etc.
  • Experience in building, hosting applications in Google Cloud Platform kubernetes is a plus
  • Familiarity with IoT understanding from connectivity and data management perspective
  • Knowledge of architecting and managing end to end solutions and perform root cause analysis

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