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Digital Twin Simulation Model Jobs in Minnesota (NOW HIRING)

... digital applications. This position requires knowledge and use of 3D electromagnetic, 2D planar, and circuit level simulation for the modeling of transmission lines including spring probes and other ...

... digital applications. This position requires knowledge and use of 3D electromagnetic, 2D planar, and circuit level simulation for the modeling of transmission lines including spring probes and other ...

... digital applications. This position requires knowledge and use of 3D electromagnetic, 2D planar, and circuit level simulation for the modeling of transmission lines including spring probes and other ...

Controls Engineer, Senior

Plymouth, MN ยท On-site

$102K - $135K/yr

Experience in embedded software development for real-time digital control systems with an ... plant models and physics-based simulations (e.g., equations of state and system dynamics)

Controls Engineer, Senior

Plymouth, MN ยท On-site

$102K - $135K/yr

Experience in embedded software development for real-time digital control systems with an ... plant models and physics-based simulations (e.g., equations of state and system dynamics)

Controls Engineer, Senior

Plymouth, MN ยท On-site

$102K - $135K/yr

Experience in embedded software development for real-time digital control systems with an ... plant models and physics-based simulations (e.g., equations of state and system dynamics)

Controls Engineer, Senior

Plymouth, MN ยท On-site

$102K - $135K/yr

Experience in embedded software development for real-time digital control systems with an ... plant models and physics-based simulations (e.g., equations of state and system dynamics)

Showing results 41-60

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 17, 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 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 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 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 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 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.

Lead Design Verification Engineer

Chelsea Search Group

Minneapolis, MN โ€ข On-site

$150 - $210/hr

Other

Posted 8 days ago


Job description

Lead Design Verification Engineer

Job Description: A Lead ASIC Design Verification Engineer will establish, staff, and lead our ASIC verification team. This is a handsโ€‘on technical leadership role โ€“ you will personally architect and build UVM testbenches for our current programs while simultaneously defining the verification methodology, infrastructure, and hiring plan that will scale the function from a single contributor to a full team. You will be the technical authority on verification โ€“ setting coverageโ€‘driven signโ€‘off criteria, owning verification schedule and risk for tapeouts, and making the buildโ€‘versusโ€‘buy calls on VIP, tools, and compute. If you have been the strongest verification engineer on someone elseโ€™s team and want to build your own, this is the role.

Key Responsibilities and Qualifications:Technical Leadership
  • Define and own the ASIC verification methodology, standards, and sign-off criteria across company programs.
  • Architect UVM-based verification environments for digital SoCs, memory subsystems, secure boot and cryptographic subsystems, and die-to-die interfaces.
  • Establish reusable verification infrastructure โ€” base classes, VIP strategy, scoreboarding and checker architecture, register abstraction (UVM RAL), and coverage models โ€” designed for reuse across programs and derivative parts.
  • Own verification planning: testplan development, coverage closure strategy, regression architecture, and quantitative sign-off metrics reported to program and customer stakeholders.
  • Serve as the verification voice in design and architecture reviews, and as the technical interface to customers, primes, and government stakeholders on verification approach and evidence.
Team Building
  • Onboard, mentor, and technically develop verification engineers, including junior engineers and design engineers transitioning into verification.
  • Define team structure, roles, and hiring profiles for the verification organization; participate directly in recruiting, interviewing, and selection.
  • Establish and enforce code review, revision control, documentation, and traceability practices appropriate to defenseโ€‘qualified deliverables.
  • Allocate verification effort across concurrent programs and communicate resourcing risk to engineering and program management.
Handsโ€‘On Execution
  • Write SystemVerilog/UVM testbench code, sequences, agents, and functional coverage models โ€” this role is expected to remain approximately 50โ€“70% handsโ€‘on.
  • Drive constrainedโ€‘random and directed verification to coverage closure; triage failures and drive rootโ€‘cause resolution with designers.
  • Apply complementary methods where they are the right tool: formal property verification, assertionโ€‘based verification (SVA), gateโ€‘level simulation, and emulation/prototyping.
  • Support verification of radiationโ€‘hardening and faultโ€‘tolerance features, including TMR structures, error detection and correction, and SEU/SET mitigation behavior.
  • Support postโ€‘silicon bringโ€‘up by correlating silicon behavior to preโ€‘silicon models and closing verification gaps.
  • Own and maintain regression infrastructure, simulation licensing and compute utilization, and CI for verification.

Required Qualifications:

  • B.S. in Electrical Engineering, Computer Engineering, or Computer Science.
  • 8+ years of ASIC/SoC verification experience, with demonstrated ownership of verification for at least one production tapeout.
  • Expertโ€‘level SystemVerilog and UVM. You have architected UVM environments from scratch โ€” not only extended environments built by others.
  • Strong command of constrainedโ€‘random verification, functional coverage, coverageโ€‘driven closure, and assertionโ€‘based verification with SVA.
  • Experience with commercial simulation and coverage tools (Synopsys VCS/Verdi, Cadence Xcelium, and/or Siemens Questa) and with regression management at scale.
  • Working knowledge of digital design and RTL โ€” sufficient to read, reason about, and debug a designer's code, and to argue productively about intent versus implementation.
  • Scripting proficiency for verification infrastructure (Python, Perl, TCL, and shell) and fluency with Gitโ€‘based workflows and Linux development environments.
  • Demonstrated technical leadership: mentoring engineers, leading a verification effort, or owning verification schedule and signโ€‘off for a program.
  • Clear written and verbal communication โ€” including the ability to present verification status and evidence to nonโ€‘verification stakeholders and customers.
  • U.S. Citizenship is required due to ITAR and DFARS requirements applicable to our programs, along with the ability to obtain and maintain a U.S. Government security clearance.
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