Digital Twin Engineer

Mann+Hummel GmbH

Gastonia, NC

JOB DETAILS
SKILLS
Analysis Skills, AutoCAD, Automation, Automotive Industry, Automotive Manufacturing, Capital Expenditure (CAPEX), Coaching, Communication Skills, Data Analysis, Data Encryption Standard (DES), Establish Priorities, Forklift, Grocery Stores, Industrial Engineering, Leadership, Line Balancing, Logistics, Manufacturing, Manufacturing Engineering, Manufacturing Systems, Operational Audit, Power BI, Process Improvement, Productivity Management, Python Programming/Scripting Language, SAP, SQL (Structured Query Language), Scripting (Scripting Languages), Simulation, Standards Development, Supply Chain, Tool and Die Manufacturing, Training/Teaching, Transportation Routing, United States Department of Energy (DOE), Use Cases, Warehousing
LOCATION
Gastonia, NC
POSTED
30+ days ago

Job Description

Role Summary Digital Twin Engineer MANN+HUMMEL Onsite - Gastonia, NC

The Manufacturing Digital Twin Engineer owns and builds the plant-level Digital Twin for an IATF-certified automotive manufacturing facility (~375 employees) producing Heavy Duty and Industrial Air and Liquid Filtration. The role develops the capability from the ground up using AutoCAD and FlexSim to model end-to-end production and internal logistics, run mixed-methods simulations, and provide data-driven recommendations to improve throughout, robustness, and investment decisions - while creating reusable standards/templates for global scaling.

Main Tasks

  • Own the plant Digital Twin in AutoCAD + FlexSim
  • Establish governed model structure (assets, routings, constraints, assumptions, versioning)
  • Keep the model aligned to real-world conditions (including high-mix/low volume realities)
  • Update flows/routings/process steps end-to-end
  • Maintain capacity inputs: cycle times, changeovers, uptime/downtime
  • Maintains shift/labor patterns, buffers/WIP rules, operating constraints
  • Model internal logistics: warehouse/supermarkets, tugger/forklifts routes, replenishment logic
  • Validate and refresh inputs with stakeholders using MED and SAP data
  • Run studies for bottlenecks, constraint behavior, line balancing, rate changes
  • Evaluate buffer sizing/WIP strategies, material flow improvements
  • Assess staffing concepts and operating policies
  • Support investment/expansion scenarios (new lines, automation, warehouse, redesign)
  • Use DOE/parameter sweeps, heuristic optimization, structured experimentation
  • Identify new Digital Twin use cases with Manufacturing Engineering, Supply Chain, CI/Lean
  • Translate operational problems into simulation questions with defined inputs/outputs
  • Build repeatable templates for recurring analyses
  • Provide recommendations supporting capex justification, investment prioritization, through output improvements, and robustness/sensitivity analysis
  • Communicate results to leadership with clear assumptions, scenarios, findings, and recommendation
  • Validate alternative layouts/logistics concepts/capacity changes through simulation
  • Collaborate with engineering while protecting model integrity and ownership
  • Partner with the Global Digital Twin Program Lead
  • Package reusable standards: templates, modeling conventions, scenario libraries

Education Bachelors degree in Engineering preferred Equivalent combinations of education and/or experience will be considered.

Experience 3 to 5 years of manufacturing engineering, industrial engineering, simulation engineering, or related roles in a manufacturing environment Tool/application experience: hands-on building models in FlexSim (or comparable DES tool) and using AutoCAD for industrial/manufacturing layouts.

Skills & Competencies

  • Discrete-event simulation (DES) capability
  • FlexSim including building reusable model components
  • AutoCAD in manufacturing layout context
  • Strong understanding of manufacturing systems (flows, constraints, variability, bottlenecks)
  • Ability to create models from ambiguous inputs and validate with stakeholders
  • Strong analytical and communication skills; explain assumptions/results to non-simulations audiences
  • Provide training and coach team members on the use of FlexSim to support simulation modeling, analysis, and decision-making
  • Preferred Experience
  • Experience working in the automotive industry
  • Basic scripting/analytics exposure: SQL, Python, PowerBI
  • Using MES and SAP data for operational analysis
  • Optimization approaches: DOE, parameter sweeps, heuristic optimization

About the Company

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Mann+Hummel GmbH