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Senior Modeling Simulation Engineer Jobs in Krum, TX

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 ...

InfoVision, Inc.

Simulation engineer

Irving, TX · On-site

Experience in digital twin modeling, simulation, optimization using anylogic Matlab etc ... Experience/ familiarity in building and engineering digital twins solutions with simulation ...

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Senior Modeling Simulation Engineer information

See Krum, TX salary details

$57.9K

$123.2K

$178.6K

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

As of Jul 5, 2026, the average yearly pay for senior modeling simulation engineer in Krum, TX is $123,164.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a Senior Modeling Simulation Engineer?

A Senior Modeling Simulation Engineer is a specialized professional who develops, analyzes, and maintains computer models and simulations to predict the behavior of complex systems. They typically work in industries such as aerospace, defense, automotive, or manufacturing, using advanced mathematical and computational techniques. Their role involves translating real-world processes into virtual models, analyzing simulation results, and providing insights to guide design or operational decisions. Senior engineers also mentor junior staff, lead projects, and collaborate with cross-functional teams to solve technical challenges.

What are some common challenges faced by Senior Modeling Simulation Engineers when integrating new simulation tools into existing workflows?

Senior Modeling Simulation Engineers often encounter challenges such as ensuring compatibility between new simulation tools and legacy systems, managing data migration, and maintaining simulation accuracy during transitions. Collaboration with software developers and IT specialists is usually essential to address integration issues and optimize performance. Additionally, adapting internal processes and training team members on updated tools can require significant time and coordination, but these efforts ultimately enhance workflow efficiency and simulation outcomes.

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

To thrive as a Senior Modeling Simulation Engineer, you need expertise in mathematical modeling, simulation techniques, and a strong background in engineering or applied sciences, typically supported by a relevant bachelor’s or master’s degree. Proficiency with technical tools such as MATLAB, Simulink, Python, and specialized simulation software, along with knowledge of systems engineering standards, is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with multidisciplinary teams and convey complex technical concepts. These skills ensure the development of accurate, reliable models that inform critical engineering decisions and drive project success.
Senior Modeling Simulation Engineer jobs near you
Simulation Engineer

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Posted 3 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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