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Discrete Event Simulation Engineer Jobs in Texas

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Develop discrete-event simulation models to evaluate the performance of material-handling and ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

Develop discrete-event simulation models to evaluate the performance of material-handling and ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

Data Engineer, Industrial Engineering

Austin, TX · On-site

$69.40K - $93.60K/yr

Provide high-quality decision support using discrete event simulation, linear programming, and other operations research methods, including throughput simulation, resources sensitivity simulation and ...

Staff Engineer, Industrial (R4300)

Dallas, TX · On-site

$69.20K - $93.50K/yr

The Senior Production Engineer applies 7+ years of experience designing high-efficiency ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

The Senior Production Engineer applies 7+ years of experience designing high-efficiency ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

Building and maintaining distributed messaging systems with Kafka for robust event-driven pipelines ... Collaborating with simulation engineers and infrastructure teams to ensure robust integration and ...

Strong object-oriented programming (OOP) skills, including encapsulation, class coherency, inheritance and polymorphism * Strong Discrete Event Simulation (DES) competency, particularly with regard ...

The Senior Production Engineer applies 7+ years of experience designing high-efficiency ... Run discrete-event simulations (Plant Simulation/FlexSim/AnyLogic) to test throughput, sensitivity ...

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Discrete Event Simulation Engineer information

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

To thrive as a Discrete Event Simulation Engineer, you need a strong background in mathematics, computer science, and systems engineering, typically supported by a relevant degree. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or C++, is commonly required. Analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting data and collaborating with cross-functional teams. These skills ensure accurate modeling, efficient problem resolution, and successful implementation of simulation solutions in complex systems.

What are some common challenges faced by Discrete Event Simulation Engineers when integrating simulation models with existing business processes?

Discrete Event Simulation Engineers often encounter challenges when aligning simulation models with real-world business processes, such as ensuring data accuracy, managing stakeholder expectations, and adapting to frequently changing operational parameters. It can be difficult to gather precise input data and validate models against actual system performance. Additionally, engineers must communicate complex simulation results to non-technical stakeholders and collaborate closely with cross-functional teams to implement recommended changes. Overcoming these challenges requires strong analytical skills, effective communication, and adaptability.

What is a Discrete Event Simulation Engineer?

A Discrete Event Simulation Engineer is a professional who designs, develops, and implements simulation models that represent real-world systems as a series of distinct events occurring over time. These engineers use specialized software and analytical methods to model complex processes such as manufacturing lines, logistics networks, or service systems. Their work helps organizations optimize performance, test scenarios, and make data-driven decisions without disrupting actual operations. Skills in programming, systems analysis, and mathematics are essential for this role.

What is the difference between Discrete Event Simulation Engineer vs Operations Research Analyst?

AspectDiscrete Event Simulation EngineerOperations Research Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; proficiency in simulation softwareBachelor's or Master's in Mathematics, Statistics, or Industrial Engineering; strong analytical skills
Work EnvironmentEngineering teams, manufacturing, logistics, or IT sectorsConsulting firms, government agencies, or corporate planning departments
Industry UsageModeling complex systems to optimize processes and workflowsAnalyzing data to improve decision-making and resource allocation

While both roles involve analytical skills and modeling, Discrete Event Simulation Engineers focus on creating simulation models of systems to optimize performance, often using specialized software. Operations Research Analysts analyze data and develop models to support strategic decisions. The roles overlap in skills but differ in application and industry focus.

What are popular job titles related to Discrete Event Simulation Engineer jobs in Texas? For Discrete Event Simulation Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation Engineer jobs in Texas look for? The top searched job categories for Discrete Event Simulation Engineer jobs in Texas are:
What cities in Texas are hiring for Discrete Event Simulation Engineer jobs? Cities in Texas with the most Discrete Event Simulation Engineer job openings:

Simulation Engineer

Kiongroup

Plano, TX • On-site, Remote

$65K - $140K/yr

Full-time

Posted 20 days ago


Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
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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