ZipRecruiter

Log In

1

Discrete Event Simulation Jobs (NOW HIRING)

Kiongroup

Simulation Engineer

Plano, TX · On-site +1

$65K - $140K/yr

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 ...

Kiongroup

Simulation Engineer

Wauwatosa, WI · On-site +1

$65K - $140K/yr

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 ...

CTC

Senior Simulation Engineer

Liberty, NC

Develop and enhance Toyota Battery PE's capability in discrete event simulation (DES) to model manufacturing operations at multiple levels: line, shop, plant, and regional supply chain. * Design and ...

Kaygen Inc

Simulation Engineer

Liberty, NC

Develop and enhance Our Client Battery PE's capability in discrete event simulation (DES) to model manufacturing operations at multiple levels: line, shop, plant, and regional supply chain. * Design ...

Clorox

Industrial Simulation Engineer

Alpharetta, GA · Hybrid

$68.30K - $92.30K/yr

Develop detailed discrete-event, agent-based, or continuous flow simulation models of manufacturing lines, workcells, and endtoend processes. * Build emulation environments to virtually test ...

next page

Showing results 1-20

People also search for

All JobsDiscrete Event Simulation Jobs

Discrete Event Simulation information

See salary details

$39K

$101.3K

$144K

How much do discrete event simulation jobs pay per year?

As of Jun 4, 2026, the average yearly pay for discrete event simulation in the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Discrete Event Simulation job?

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 the Discrete Event Simulation position, and why are they important?

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 roles?

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 4 types of simulation?

In discrete event simulation, the four main types are Monte Carlo simulation, system dynamics, agent-based simulation, and process simulation. These types differ in how they model systems, with discrete event simulation focusing on events and state changes over time, often used in operations research and logistics. Understanding these types helps professionals select appropriate tools and techniques for modeling complex systems.
More about Discrete Event Simulation jobs
What cities are hiring for Discrete Event Simulation jobs? Cities with the most Discrete Event Simulation job openings:
What are the most commonly searched types of Discrete Event Simulation jobs? The most popular types of Discrete Event Simulation jobs are:
What states have the most Discrete Event Simulation jobs? States with the most job openings for Discrete Event Simulation jobs include:
What job categories do people searching Discrete Event Simulation jobs look for? The top searched job categories for Discrete Event Simulation jobs are:
Discrete Event Simulation jobs near you
Infographic showing various Discrete Event Simulation job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Simulation Engineer

Kiongroup

Plano, TX • On-site, Remote

$65K - $140K/yr

Full-time

Posted 26 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.

#LI-JR1

Apply