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Simulation Engineer Siemens Plant Simulation Jobs in Georgia

Simulation Engineer

Atlanta, GA ยท On-site +1

$65K - $140K/yr

Experience with material handling, logistics, warehouse automation, AutoMod, Plant Simulation, or ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

Simulation Engineer

Atlanta, GA ยท On-site +1

$65K - $140K/yr

Experience with material handling, logistics, warehouse automation, AutoMod, Plant Simulation, or ... Collaborate with engineering, sales, project management, and other partners to define requirements ...

Simulation Engineer to support GM ARC RTD Simulation testing workflow. PURPOSE: Support the robotics software development team in establishing a daily simulationtesting workflow on a unified ...

As a Modeling and Simulation Engineer/Requirements Developer , your duties will include the following, but are not limited to: * Apply engineering expertise in modeling and simulation, weapon system ...

Our dedicated team members design, engineer and manufacture school buses with a singular focus on ... Lead simulation-driven design strategies from concept through product launch, utilizing predictive ...

Our dedicated team members design, engineer and manufacture school buses with a singular focus on ... Lead simulation-driven design strategies from concept through product launch, utilizing predictive ...

Simulation Technician Department: Simulation Operations (JoAnn Willette) FLSA: United States of ... Builds scenario programming and media assets from faculty-provided templates and objectives.

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Simulation Engineer Siemens Plant Simulation information

What is a simulation engineer Siemens Plant Simulation?

A Simulation Engineer specializing in Siemens Plant Simulation uses specialized software to model, analyze, and optimize manufacturing processes and production systems. Their main role is to create digital twins of real-world facilities, allowing companies to test changes, improve efficiency, and minimize costs without interrupting actual operations. These engineers collaborate closely with production, logistics, and IT teams to ensure that the simulations accurately reflect real-world scenarios and help identify bottlenecks or areas for improvement. Siemens Plant Simulation is widely used in industries such as automotive, logistics, and manufacturing for process optimization and strategic planning.

What are some common challenges simulation engineers face when implementing Siemens Plant Simulation in a manufacturing environment?

Simulation Engineers using Siemens Plant Simulation often encounter challenges such as accurately modeling complex manufacturing processes, integrating data from various sources, and ensuring that simulations reflect real-world variability. Collaborating closely with production, IT, and process engineering teams is crucial to gather accurate input data and validate simulation results. Additionally, balancing the level of model detail with computational efficiency is a frequent consideration, as is communicating simulation outcomes effectively to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a simulation engineer specializing in Siemens Plant Simulation?

To thrive as a Simulation Engineer with Siemens Plant Simulation, you need a strong background in industrial engineering, process optimization, and discrete event simulation, often supported by a relevant engineering degree. Expertise in Siemens Plant Simulation software, programming skills (such as SimTalk or Python), and familiarity with data analysis tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication are critical soft skills for collaborating with cross-functional teams and presenting findings. These skills and qualifications are vital for accurately modeling complex manufacturing systems, identifying process improvements, and driving operational efficiency.

What is the difference between Simulation Engineer Siemens Plant Simulation vs Simulation Engineer AnyLogic?

AspectSimulation Engineer Siemens Plant SimulationSimulation Engineer AnyLogic
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; familiarity with Siemens Plant Simulation softwareBachelor's or Master's in Engineering, Computer Science, or related fields; experience with AnyLogic software
Work EnvironmentManufacturing, logistics, and industrial settings using Siemens Plant Simulation for process optimizationLogistics, supply chain, and manufacturing environments using AnyLogic for simulation modeling
Industry UsagePrimarily in manufacturing and industrial sectors with Siemens toolsBroader industry use including logistics, healthcare, and manufacturing with AnyLogic

The main difference between a Simulation Engineer Siemens Plant Simulation and a Simulation Engineer AnyLogic lies in the software expertise and industry focus. Siemens Plant Simulation specialists focus on manufacturing process optimization within industrial environments, while AnyLogic engineers work across diverse sectors using flexible simulation tools. Both roles require similar educational backgrounds and skills but differ in software specialization and application areas.

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What cities in Georgia are hiring for Simulation Engineer Siemens Plant Simulation jobs?

Cities in Georgia with the most Simulation Engineer Siemens Plant Simulation job openings:

Simulation Engineer

Kiongroup

Atlanta, GA โ€ข On-site, Remote

$65K - $140K/yr

Full-time

Re-posted 15 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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