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Digital Twin Simulation Model Jobs in Minnesota (NOW HIRING)

Research Engineer

Saint Paul, MN ยท On-site

$75K - $86K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop innovative solutions and technical approaches to design, modeling, and implementation of advanced AI models for microelectronics design and manufacturing. * Create a digital twin of the ...

Digital Manufacturing, Manager

Minneapolis, MN

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Digital Twin; Digital Manufacturing Strategy Development; Digital Manufacturing Blueprint & Design ... Possesses financial modeling skills; Possesses the ability to influence and shape thinking of peer ...

Simulation Engineer - Remote

Minneapolis, MN ยท Remote

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and digital expertise. By bringing together technologies and industries, alongside the ... Lead the DES model generation from concept modelling to fully detailed mimic of the program ...

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Showing results 1-20

Digital Twin Simulation Model information

See Minnesota salary details

$38.2K

$99.2K

$141K

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

As of Aug 16, 2026, the average yearly pay for digital twin simulation model in Minnesota is $99,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,800.00 per year, depending on experience, location, and employer.

What are 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 Minnesota?

For Digital Twin Simulation Model jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Digital Twin Simulation Model jobs?

Cities in Minnesota with the most Digital Twin Simulation Model job openings:

Infographic showing various Digital Twin Simulation Model job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $99,171 per year, or $47.7 per hour.

Sr. Engineer, Digital Twins for Test Systems

North Wind

Saint Paul, MN โ€ข On-site

$100K - $160K/yr

Full-time

Posted 9 days ago


Job description

Join North Wind – Accelerating Hypersonic Innovation

At North Wind, we are advancing hypersonic technologies through cutting-edge research, system development, and flight testing. Our team drives innovation in high-speed aerodynamics, propulsion systems, and mission-critical components, supporting every phase of hypersonic programs - from R&D to flight testing, If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.

Sr. Engineer, Digital Twins for Test Systems

The Sr. Aerothermal Engineer for the Digital Twins for Test Systems will lead the design, development, and deployment of real-time digital twins for a large wind tunnel facility complex. We are seeking a dynamic leader with experience fusing modeling and simulation with real-world results to drive the creation of wind tunnel facility digital surrogates to accelerate facility operations and test conduct.

Responsibilities

  • Architect, design, and lead development of real-time wind tunnel facility digital twin / simulation software systems with hardware in the loop
  • Integrate physics-based simulations of the wind tunnel test sections, test articles, and facility mechanical systems with the facility hardware and instrumentation architectures to drive significant improvements in test conduct efficiency, data collection, and anchoring of test facility and test article models
  • Support the test facility software and controls teams to integrate the digital twin capabilities with controls, data acquisition, and data display development efforts
  • Lead a small team of engineers performing digital twin development tasks to align products with broader digital engineering platform development
  • Support the development of techniques with machine learning (ML) and artificial intelligence (AI) for facility data collection and management, digital twin updates, and operational decision making
  • Support integration of configuration management tools with the digital twins to track and manage the test facility baselines
  • Enforce configuration management of all data related to digital twin software and artifacts
  • Prepare clear technical documentation, analysis summaries, charts, and presentations for internal reviews and external stakeholders
  • Interface with customer technical representatives to review and discuss analysis activities and results

Preferred Education / Experience:

  • Advanced degree in Aerospace Engineering, Mechanical Engineering, or a related discipline
  • 5-10 years of experience pertinent to the responsibilities listed above; or
  • A combination of education and experience equivalent to above

Preferred Knowledge / Ability:

  • Demonstrated experience with wind tunnel testing, either in support of facility operations or performing specific test entries
  • Strong competency in the thermodynamic, aerodynamic, and mechanical principles that underpin wind tunnel performance and operations
  • Experience with real time digital twin / simulation software integration environments (e.g., Ansys, Dassault, and Siemens digital twin products)
  • Strong programming skills for modeling and analysis (e.g., Python, MATLAB/Simulink, Fortran, or C++), including scripting for automation of simulations and data reduction
  • Familiarity with supervisory control and data acquisition (SCADA) software and hardware systems
  • Deep understanding of engineering principles, including mechanical, electromechanical, and aerospace systems design, test, and evaluation
  • Proficiency in interpreting engineering plans, technical drawings, and specifications
  • Ability to define complex problems, analyze data, interpret abstract concepts, and develop effective solutions
  • Demonstrated leadership of cross-functional teams from project conception to completion; guiding teams through planning, execution, and delivery phases
  • Skilled in project management, prioritization, budgeting, and delivering results on time
  • Excellent written and verbal communication skills, with the ability to tailor messaging to technical and non-technical audiences
  • Proficient in Microsoft Office and engineering-related software tools
  • Active U.S. security clearance preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance

Additional Preferred Qualifications:

  • Experience with aerospace test systems and / or vehicle development programs
  • Background in early-stage research and development, product development methodologies, and innovation strategy
  • Familiarity with Department of Defense (DoD) acquisition processes, R&D funding, and technology development programs

North Wind is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. North Wind supports safe and drug free workplace through pre-employment background checks and drug testing.

The salary range provided is a general guideline. Actual pay will depend on several factors, including, but not limited to, education, experience, training, and other applicable qualifications. North Wind is committed to pay transparency in compliance with applicable state and local laws.

All candidates must be eligible to work in the United States.


North Wind Group logo

About North Wind Group

Sourced by ZipRecruiter

North Wind Group is a renowned engineering, construction, environmental, and technical services firm based in Idaho Falls, ID, United States. This U.S owned firm, with its robust portfolio, offers a wide range of services including, but not limited to, infrastructure, waste management, remediation, environmental, and construction services. North Wind Group was established in 1997 and since then, it has expanded its operations across the United States, becoming a national provider of high-quality, cost-effective technical and engineering solutions. The company's core values express its commitment to safety, integrity, customer service, innovation, and teamwork, which are all critical to its mission of delivering innovative and sustainable solutions aimed to protect the environment and improve the lives of communities.

Industry

Government relations and lobbying services

Company size

501 - 1,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1997

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