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Discrete Event Simulation Jobs in Texas (NOW HIRING)

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

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 ...

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

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 ...

NPI Engineer

Plano, TX · On-site

$70K - $90K/yr

Utilize discrete-event simulation and industrial engineering tools to optimize production systems. * Perform "what-if" analyses supporting production planning and growth initiatives. Continuous ...

Senior Industrial Engineer

Austin, TX · On-site

$42.25 - $58/hr

Develop and deploy discrete-event simulation models that integrate component flow, material flow, tooling operations, and people * Develop and validate design choices for new factories * Support and ...

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Build simulation models (e.g., Monte Carlo, discrete-event) to stress-test portfolio plans, quantify risk and uncertainty, and forecast outcomes across scenarios. * Predictive Modeling: Build, test ...

Experience * 5+ years experience in designing and developing enterprise level digital twin modeling, simulation, optimization solutions * 3+ years with System dynamics, Discrete events and Agent ...

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 ...

Lean Engineer

Arlington, TX

$71K - $94K/yr

... or discrete-event simulation tools like FlexSim How We Support You: At Cummings Electrical, we foster a supportive and growth-oriented work environment. We provide opportunities for career ...

Lean Engineer

Arlington, TX

$69K - $92K/yr

... or discrete-event simulation tools like FlexSim How We Support You: At Cummings Electrical, we foster a supportive and growth-oriented work environment. We provide opportunities for career ...

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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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution.

Simulation Engineer

Kiongroup

Plano, TX • On-site, Remote

$65K - $140K/yr

Full-time

Re-posted 11 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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