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Internship 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

Salt Lake City, UT · 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 ...

ALTEN

Software Simulation Engineer

North Reading, MA · On-site

$115K - $145K/yr

Design and develop scalable simulation frameworks (e.g., discrete event simulation) * Expand simulation capabilities to model additional real-world scenarios and systems * Integrate AI/ML techniques ...

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 · On-site

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

$68K - $92K/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 ...

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How much do internship discrete event simulation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for internship discrete event simulation in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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

To thrive in a Discrete Event Simulation internship, you need a solid background in mathematics, statistics, and computer science, often accompanied by coursework or experience in simulation modeling. Familiarity with simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or Java, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and present findings clearly. These skills are crucial for developing accurate models, identifying system improvements, and contributing valuable insights to simulation projects.

What types of projects do interns typically work on during a Discrete Event Simulation internship?

As a Discrete Event Simulation intern, you will often be assigned to projects that involve modeling real-world systems—such as manufacturing lines, logistics networks, or service operations—to analyze their performance and identify improvements. Interns usually work closely with experienced simulation engineers and analysts, learning to use industry-standard software like Arena, Simio, or AnyLogic. Responsibilities may include data collection, building simulation models, running experiments, and presenting findings to project teams. This hands-on experience helps interns develop technical skills and gain insight into how simulation supports decision-making in industries like manufacturing, healthcare, or transportation.

What is an Internship in Discrete Event Simulation?

An Internship in Discrete Event Simulation involves working with computer models that simulate the operation of complex systems as a series of distinct events in time. Interns typically assist in designing, developing, and analyzing simulation models for systems such as manufacturing processes, logistics, or networks. The internship helps students or recent graduates gain practical experience with simulation software, data analysis, and problem-solving in real-world scenarios. It is a valuable opportunity to apply theoretical knowledge and develop skills relevant to careers in engineering, operations research, or computer science.

What is the difference between Internship Discrete Event Simulation vs Data Analyst Intern?

AspectInternship Discrete Event SimulationData Analyst Intern
Required skillsSimulation modeling, programming, analytical skillsData analysis, statistical skills, Excel, SQL
Work environmentResearch labs, manufacturing, logisticsBusiness, finance, healthcare
Industry usageOperations, manufacturing, supply chainBusiness intelligence, marketing, finance

Internship Discrete Event Simulation focuses on modeling and analyzing complex systems using simulation techniques, often in manufacturing or logistics. Data Analyst Internships involve analyzing datasets to inform business decisions. While both roles require analytical skills, discrete event simulation emphasizes modeling skills, whereas data analysis emphasizes statistical and data manipulation skills. Both internships are valuable entry points in data-driven industries, but they serve different functions within organizational operations.

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What cities are hiring for Internship Discrete Event Simulation jobs? Cities with the most Internship Discrete Event Simulation job openings:
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Internship Discrete Event Simulation jobs near you
Infographic showing various Internship Discrete Event Simulation job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Temporary. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Simulation Engineer

Kiongroup

Plano, TX • On-site, Remote

$65K - $140K/yr

Full-time

Posted 27 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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