We offer:

What We Offer:

• Career Development

• Competitive Compensation and Benefits

• Pay Transparency

• Global Opportunities

Learn More Here: 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 $65000 - $140000 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 Were 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.

• Bachelors degree or Masters 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: 25 years depending on role level and validated capability.

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