Digital Twin Engineer

Mann+Hummel GmbH•Gastonia, NC

22h•Onsite

About The Position

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 capabaility 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.

Requirements

Bachelors degree in Engineering preferred
Equivalent combinations of education and/or experience will be considered.
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.
Discrete-event simulation (DES) capability
FlexSim including building reusbale model components
AutoCAD in manufacturing layout context
Strong understanding of manufacturing systems (flows, constraints, variability, boittlenecks)
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

Nice To Haves

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

Responsibilities

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 contraints
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 prioritizaiton, 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 ownnership
Partner with the Global Digital Twin Program Lead
Package reusable standards: templates, modeling conventions, scenario libraries