ZipRecruiter

Log In

1

Digital Twin Engineer Jobs (NOW HIRING)

Caterpillar

Senior Software Engineer-4

Irving, TX · On-site

$117K - $155K/yr

The Simulation & Digital Twin Engineer will design, develop, and integrate simulation and visualization capabilities that support Caterpillar's next-generation digital twin, machine behavior modeling ...

Caterpillar

Senior Software Engineer-4

Irving, TX

$117K - $155K/yr

The Simulation & Digital Twin Engineer will design, develop, and integrate simulation and visualization capabilities that support Caterpillar's next-generation digital twin, machine behavior modeling ...

next page

Showing results 1-20

All JobsDigital Twin Engineer Jobs

Digital Twin Engineer information

See salary details

$80.5K

$139.4K

$182.5K

How much do digital twin engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for digital twin engineer in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Digital Twin Engineer, and why are they important?

To thrive as a Digital Twin Engineer, you need a strong background in systems engineering, data modeling, simulation, and a relevant engineering or computer science degree. Familiarity with digital twin platforms (such as Siemens NX, ANSYS Twin Builder), IoT frameworks, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable effective design, monitoring, and optimization of virtual models, ensuring accurate real-time insights for operational decision-making.

What are some common challenges Digital Twin Engineers face when integrating real-time data from physical assets?

Digital Twin Engineers often encounter challenges related to data quality, connectivity, and system interoperability when integrating real-time data from physical assets. Ensuring that sensors and IoT devices reliably provide accurate, timely data can be complex, especially in large-scale or legacy environments. Additionally, aligning data formats and protocols between various systems requires strong problem-solving and collaboration with IT and operations teams. Overcoming these hurdles is crucial for building effective digital twins that deliver actionable insights.

What is a Digital Twin Engineer?

A Digital Twin Engineer is a professional who designs, develops, and maintains digital replicas of physical assets, systems, or processes. These virtual models use real-time data to simulate, predict, and optimize performance, allowing organizations to improve efficiency, detect problems early, and make data-driven decisions. Digital Twin Engineers typically work in industries such as manufacturing, energy, automotive, and smart cities, leveraging technologies like IoT, AI, and simulation software to create and manage digital twins.

What is the difference between Digital Twin Engineer vs Data Engineer?

AspectDigital Twin EngineerData Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; knowledge of IoT, simulation, and modelingBachelor's in Computer Science, Data Science, or related fields; expertise in databases, ETL, and data pipelines
Work EnvironmentIndustrial settings, manufacturing, IoT platforms, simulation labsData centers, cloud platforms, analytics teams, software development environments
Employer & Industry UsageManufacturing, aerospace, energy, smart citiesTech companies, finance, healthcare, e-commerce

The Digital Twin Engineer focuses on creating virtual replicas of physical assets for simulation and monitoring, often working in industrial environments. In contrast, Data Engineers build and maintain data pipelines and infrastructure to support data analysis across various industries. While both roles require technical skills, their applications and environments differ significantly.

More about Digital Twin Engineer jobs
What cities are hiring for Digital Twin Engineer jobs? Cities with the most Digital Twin Engineer job openings:
What states have the most Digital Twin Engineer jobs? States with the most job openings for Digital Twin Engineer jobs include:
What job categories do people searching Digital Twin Engineer jobs look for? The top searched job categories for Digital Twin Engineer jobs are:
Digital Twin Engineer jobs near you
Infographic showing various Digital Twin Engineer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,368 per year, or $67 per hour.

Digital Twin Engineer (Manufacturing Simulation)

MANN+HUMMEL

Gastonia, NC

Other

Posted 16 days ago

Mann+Hummel rating

6.4

Company rating: 6.4 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

357th of 417 rated machine equipment manufacturers

Job description

Role Summary
Modeling and Simulation Engineer
MANN+HUMMEL
Onsite - Gastonia, NC #LI-Onsite
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.
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 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
Profile
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 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
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

What Mann+Hummel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply