Simulation Engineer III – Material Handling Equipment, MHE

KPI Integrated Solutions

. Build, verify, and validate discrete-event simulation models of proposed and existing material handling systems.

Posted 11/11/2026full-timeRemote • Georgia • United StatesMid-LevelSenior💰 $125,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in discrete-event simulation modeling for material handling systems, with strong analytical skills to quantify performance metrics and optimize operations. Proficient in translating technical specifications into actionable model logic while effectively communicating results to diverse stakeholders.

Highest-signal resume keywords

Discrete-Event Simulation ExperienceSimulation Platform ProficiencyData Analysis SkillsModeling Material Handling SystemsTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Discrete-Event SimulationModel Logic DevelopmentData ProfilingSQLPythonC#VBAFlexScriptStatistical AnalysisSensitivity Analysis

Soft Skills

Technical CommunicationMentoringCollaborationProblem-SolvingPresentation Skills

Tools & Technologies

FlexSimAutoModEmulate3DSimioAnyLogicPlant SimulationPower BITableauAutoCADNavisworks

Certifications & Qualifications

Lean CertificationSix Sigma CertificationContinuous Improvement Certification

Industry Keywords

Material HandlingWarehouse OperationsDistributionManufacturingParcel OperationsWMSWCSWESE-Commerce3PL

Tech Stack

Tools & technologies

PythonSQLTableauVBA

About the role

Key responsibilities & impact

Build, verify, and validate discrete-event simulation models of proposed and existing material handling systems.
Translate concept drawings, equipment specifications, rate assumptions, and operating procedures into model logic, including routing, recirculation, induction strategies, and exception handling.
Analyze customer order and inventory data and develop design-day and peak-hour scenarios.
Quantify throughput, capacity, utilization, bottlenecks, accumulation and buffer sizing, staffing requirements, and order cycle time.
Run sensitivity and what-if analyses across growth, mix shift, and failure scenarios.
Apply statistical practices including warm-up periods, replication counts, confidence intervals, and documented verification and validation.
Produce result summaries, charts, animations, and written assumptions and limitations.
Work with solution design, sales engineering, and estimating during pursuits to compare concepts, right-size equipment, and remove unnecessary cost.
Present findings and 3D animations in design reviews, proposal defenses, and customer workshops.
Support post-award design finalization and reconcile modeled performance against actual system data after go-live.
Own simulation scope, hour estimates, and schedule commitments across multiple concurrent projects.
Peer-review models and mentor Simulation Engineers I and II.
Maintain reusable component libraries, model templates, data-processing tools, and internal modeling standards.
Stay current on MHE technologies, vendor capabilities, and simulation software releases.

Requirements

What you’ll need

Bachelor's degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, Operations Research, Supply Chain, or a related technical field.
5+ years of professional discrete-event simulation experience, including at least 3 years modeling material handling, warehouse, distribution, manufacturing, or parcel operations.
Demonstrated proficiency in at least one major simulation platform (FlexSim, AutoMod, Emulate3D, Simio, AnyLogic, Plant Simulation, or equivalent), with the ability to build complex custom logic rather than only assembling standard objects.
Working knowledge of MHE subsystems and their operating characteristics: conveyor and accumulation, shoe/crossbelt/tilt-tray sortation, AS/RS and shuttles, goods-to-person, print-and-apply, palletizing, and mobile robotics.
Strong data skills — able to profile and clean large order history files independently using SQL, Python, or equivalent, without waiting on someone else to prepare the data.
Scripting or programming ability in at least one of Python, C#, VBA, FlexScript, or a comparable language.
Proven ability to explain technical results to non-technical stakeholders, including customer operations and executive audiences.
Ability to travel up to 25%, domestically and occasionally internationally.
Preferred: Master's degree in industrial engineering, Operations Research, or Supply Chain.
Preferred: Emulation and virtual commissioning experience with PLC-connected models.
Preferred: Familiarity with WMS, WCS, or WES platforms and order release and wave strategy.
Preferred: Exposure to AMR/AGV fleets, robotic each-picking, or automated storage vendors.
Preferred: Experience in e-commerce, retail, grocery, cold chain, 3PL, or parcel environments.
Preferred: Data visualization experience with Power BI or Tableau and CAD/coordination tools such as AutoCAD, Navisworks, or Revit.
Preferred: Lean, Six Sigma, or continuous improvement certification.

Benefits

Comp & perks

Medical Insurance
Dental Insurance
Vision Insurance
Health Care Concierge Service
401(k) Retirement Plan (Pre-tax & Roth)
Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability
Voluntary Life & AD&D Insurance
Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
Pet Insurance
Milk Stork Program
Wellness Program with gift card redemption and wellness challenges
Paid Time Off (Vacation, Sick & 10 Holidays)
Training & Development
Equal employment opportunity regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by states, federal, or local law.