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Discrete Event Simulation Remote Jobs in Utah (NOW HIRING)

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Develop discrete-event simulation models to evaluate the performance of material-handling and ...

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

... remote work. This role involves building and evaluating simulation models that contribute to the ... Develop discrete-event simulation models to evaluate the performance of material-handling and ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Discrete Event Simulation Remote information

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

To excel as a Discrete Event Simulation Remote professional, you need a solid background in systems engineering, mathematics, and computer science, often supported by a relevant degree. Familiarity with simulation software such as Arena, Simul8, or AnyLogic, and programming languages like Python or C++, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are important soft skills for collaborating in a remote environment. These competencies ensure accurate model development, efficient project execution, and effective teamwork despite the challenges of remote work.

How does working remotely impact collaboration on discrete event simulation projects, and what tools are commonly used to facilitate teamwork?

Remote work in discrete event simulation often involves collaborating with cross-functional teams such as engineers, analysts, and project managers. Effective communication is key, and teams typically use specialized simulation software alongside project management and communication tools like Slack, Microsoft Teams, and version control systems (e.g., Git) to share models and results. Regular video meetings and screen-sharing sessions help synchronize work and troubleshoot simulation issues together. Adapting to a remote environment may require proactive communication and strong documentation skills to ensure seamless collaboration and project success.

What is a Discrete Event Simulation Remote job?

A Discrete Event Simulation Remote job involves creating and analyzing computer models that simulate the operation of complex systems, where changes (events) happen at distinct points in time. These professionals use specialized software to model processes in areas such as manufacturing, logistics, healthcare, or communications. Working remotely, they collaborate with teams, collect data, build simulation models, run experiments, and interpret results to help organizations optimize their operations or solve problems. Strong analytical, problem-solving, and programming skills are often required for this role.
What are popular job titles related to Discrete Event Simulation Remote jobs in Utah? For Discrete Event Simulation Remote jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Discrete Event Simulation Remote jobs? Cities in Utah with the most Discrete Event Simulation Remote job openings:

Simulation Engineer

Kiongroup

Salt Lake City, UT • On-site, Remote

$65K - $140K/yr

Full-time

Posted 19 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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