1

Digital Twin Simulation Model Jobs in Wisconsin (NOW HIRING)

Create and maintain digital twin simulations for process optimization and virtual commissioning * Develop automated quality control systems incorporating AI-driven defect detection * Design and ...

Create and maintain digital twin simulations for process optimization and virtual commissioning * Develop automated quality control systems incorporating AI-driven defect detection * Design and ...

Lead Fusion Controls Developer

Madison, WI · On-site

$45.50 - $58.25/hr

Integrate simulation and digital twin capabilities with live controls displays to support pre-shot planning and post-shot analysis. Back-End Controls and Hardware Integration * Develop and maintain ...

Lead Fusion Controls Developer

Madison, WI · On-site

$45.50 - $58.25/hr

Integrate simulation and digital twin capabilities with live controls displays to support pre-shot planning and post-shot analysis. Back-End Controls and Hardware Integration * Develop and maintain ...

ASIC designer

Waukesha, WI · On-site

$40 - $50/hr

Demonstrated experience in digital ASIC (System Verilog/VHDL) design and simulation tools (QuestaSim, Xcelium, etc) * Demonstrated experience in MATLAB or equivalent simulation/modeling tool

ASIC designer

Waukesha, WI · On-site

$40 - $50/hr

Demonstrated experience in digital ASIC (System Verilog/VHDL) design and simulation tools (QuestaSim, Xcelium, etc) * Demonstrated experience in MATLAB or equivalent simulation/modeling tool

next page

Showing results 1-20

Digital Twin Simulation Model information

See Wisconsin salary details

$39.4K

$102.2K

$145.3K

How much do digital twin simulation model jobs pay per year?

As of Jul 31, 2026, the average yearly pay for digital twin simulation model in Wisconsin is $102,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $130,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What is a Digital Twin Simulation Model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

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

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.
What are popular job titles related to Digital Twin Simulation Model jobs in Wisconsin? For Digital Twin Simulation Model jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Digital Twin Simulation Model jobs in Wisconsin look for? The top searched job categories for Digital Twin Simulation Model jobs in Wisconsin are:

Senior Technical Solution Architect - Industrial AI

Cerence Operating Company

Montreal, WI • On-site

$132K - $211K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 hours ago

Posted today


Job description

A Moving Experience.

Industrial AI is transforming how frontline workers and factory operations function. At Cerence, we are bringing together Voice AI, Industry 4.0, Digital Twins, Edge AI, and intelligent automation to create the next generation of connected worker and smart manufacturing solutions.

Role Overview

The Senior Technical Solution Architect will lead the design and architecture of next-generation Industrial AI solutions that connect frontline workers, frontline processes, and enterprise systems through voice, AI, and digital twin technologies.

This role bridges frontline workers, factory-floor operations, enterprise applications, Industrial AI platforms, and operational technology (OT) environments to deliver next-generation voice-enabled, digital twin, and connected worker solutions for manufacturing environments.

Your Impact

  • Defining end-to-end Industry 4.0 and Industrial AI solution architectures.
  • Shape smart manufacturing platform roadmaps.
  • Connect frontline workers, industrial assets, enterprise systems, and AI platforms through intelligent workflows.
  • Work with System provider companies and their end-to-end applications to integrate the Cerence solution.
  • Drive deployment of Voice AI, Edge AI, and embedded Small Language Models (SLMs) across manufacturing environments.
  • Influence product direction through customer engagements, pilots, and production deployments.
  • Lead technical discussions with customers, partners, product teams, and engineering organizations.

Key Responsibilities

  • Industrial AI Architecture: Design scalable end-to-end architectures integrating Voice AI, SLMs into enterprise manufacturing systems.
  • Enterprise & Factory Integration: Architect integrations with MES, ERP, PLM, WMS, CMMS, SCADA, and PLC environments.
  • Connected Worker Solutions: Create architectures spanning mobile devices, rugged tablets, wearables, HMIs, industrial control panels, and factory-floor workflows.
  • Edge AI & SLM Strategy: Define approaches for deploying SLMs and AI workloads across cloud, edge gateways, industrial PCs, and embedded environments.
  • Technical Leadership: Provide architecture governance, technical guidance, and solution leadership across multidisciplinary teams.
  • Safety & Compliance: Ensure solutions meet industrial safety, cybersecurity, and compliance requirements.

What You Bring

Mandatory (Must Have)

  • 5+ years of experience in Solution Architecture, Industrial AI, IIoT, Digital Twins, or Smart Manufacturing.
  • Strong understanding of Industry 4.0 architectures, connected factories, Industrial IoT (IIoT), OT/IT convergence, digital threads, predictive maintenance, industrial analytics, and factory automation ecosystems.
  • Experience designing solutions connecting frontline workers, frontline processes, industrial assets, and enterprise systems.
  • Proven experience with Digital Twin platforms such as NVIDIA Omniverse, NVIDIA Industrial Digital Twins, Azure Digital Twins, Siemens Digital Twin ecosystems, or similar solutions.
  • Experience deploying and integrating Small Language Models (SLMs) in edge and industrial environments.
  • Strong understanding of OPC UA, MQTT, PLC, SCADA, industrial telemetry, and operational technology integration.
  • Experience integrating MES, ERP, PLM, WMS, CMMS, and enterprise manufacturing systems.
  • Customer-facing technical leadership experience and ability to engage senior stakeholders.

Good to Have (Highly Valued Plus)

  • Experience with Generative AI, LLMs, Agentic AI, Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Multimodal AI systems.
  • Experience with Connected Worker platforms and Digital Manufacturing initiatives.
  • Industrial Cybersecurity standards including IEC 62443 and related OT security frameworks.
  • Experience with Siemens, Rockwell Automation, Schneider Electric, ABB, Honeywell, or PTC ecosystems.
  • Predictive Maintenance, Condition Monitoring, Factory Optimization, and Manufacturing Analytics solutions.

Why Join the Team

  • Help define how Voice AI and Industrial AI transform manufacturing operations worldwide.
  • Work at the intersection of Industry 4.0, Digital Twins, Edge AI, and Conversational AI.
  • Shape products, customer solutions, and platform strategy in a rapidly growing market.
  • Influence real-world deployments that improve productivity, safety, and operational efficiency.

Education & Qualifications

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Industrial Automation, Electrical Engineering, Systems Engineering, Robotics, or a related technical discipline.

What we offer

We offer a generous compensation and benefits package (in addition to the base salary), including:

  • Salary range$132,200.00 USD - $211,400.00 USD It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.

  • Annual bonus opportunity

  • Insurance coverage (medical, dental, vision, life, and disability)

  • Paid time off

  • Paid holidays

  • Company contribution to the RRSP (Registered Retirement Savings Plan)

  • Equity awards for certain positions and levels

  • Remote and/or hybrid work available depending on the position

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.


About Cerence

Cerence is a global leader in conversational AI and voice technologies. We are expanding innovation beyond automotive into Industrial AI, Edge AI, and connected worker solutions, creating intelligent systems that transform how people interact with technology and industrial environments.

Cerence Inc. (Nasdaq: CRNC andwww.cerence.com) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world's leading automakers - from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC - to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

AsCerencelooks to the future and continues an ambitious growth agenda,we need someonetojointheteam and help build the future of voice and AI in cars. This is an exciting opportunity to joinCerence'spassionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

EQUAL OPPORTUNITY EMPLOYER

Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.

All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:


- Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
- Following security procedures to report any suspicious activity.
- Having respect for corporate security procedures to allow those procedures to be effective.
- Adhering to company's compliance and regulations.
- Encouraging to follow a zero tolerance for workplace violence.

- Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).

- Demonstrative knowledge of information security through internal training programs.