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Discrete Event Simulation Jobs in Texas (NOW HIRING)

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 ...

Design and develop complex simulation models using AnyLogic (Agent-Based, Discrete Event, and System Dynamics) * Build models to simulate real-world business processes, supply chains, logistics ...

... simulation models using AnyLogic (Agent-Based, Discrete Event, and System Dynamics) Build models to simulate real-world business processes, supply chains, logistics networks, and operational ...

Strong Discrete Event Simulation (DES) competency, particularly with regard to DES modeling techniques and best practices * Ability to independently analyze performance bottlenecks in micro ...

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Discrete Event Simulation information

What is a discrete event simulation?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the key skills and qualifications needed to thrive in discrete event simulation?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

What are the common challenges faced by professionals working in discrete event simulation?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are the most commonly searched types of Discrete Event Simulation jobs in Texas?

The most popular types of Discrete Event Simulation jobs in Texas are:

What are popular job titles related to Discrete Event Simulation jobs in Texas?

For Discrete Event Simulation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Discrete Event Simulation jobs in Texas look for?

The top searched job categories for Discrete Event Simulation jobs in Texas are:

What cities in Texas are hiring for Discrete Event Simulation jobs?

Cities in Texas with the most Discrete Event Simulation job openings:

Infographic showing various Discrete Event Simulation job openings in Texas as of September 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 96% In-person, and 4% Remote job distribution.

Simulation Engineer

InfoVision, Inc.

Irving, TX • On-site

Other

Re-posted 9 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