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Digital Twin Simulation Model Jobs (NOW HIRING)

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop and deploy simulation logic and behavioral models governing machine and system behavior ... Work hands-on with multiple digital-twin platforms, such as: NVIDIA Omniverse (primary environment ...

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Summary We are looking for a Staff Digital Twin Engineer to help design, build and evolve ... Develop and deploy simulation logic and behavioral models governing machine and system behavior.

PepsiCo

Sr Director Digital Twin Platform and Solutions

Plano, TX · On-site

$178K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own the Digital Twin Platform product vision, multi-year roadmap, and operating model, ensuring ... Deliver core shared services across data ingestion, model execution, simulation orchestration, APIs ...

PepsiCo

Sr Director Digital Twin Platform and Solutions

Plano, TX · On-site

$178K - $362K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deliver core shared services across data ingestion, model execution, simulation orchestration, APIs ... Support digital twin patterns including engineering twins, operational twins, and telemetry-driven ...

Jobtailor

Senior Digital Twin Engineer

California, MO · On-site

$110 - $160/hr

Develop the simulation logic and behavioral models governing machine and system behavior. * Create ... Work hands-on with multiple digital-twin platforms, such as NVIDIA Omniverse, CARLA, Siemens NX ...

Focused Energy Inc

Optical Engineer, Digital Twin

Austin, TX · On-site

$127K - $165K/yr

Validate simulation models against experimental data and perform sensitivity and uncertainty analysis * Develop reduced-order and surrogate models for efficient Digital Twin deployment * Collaborate ...

Denso

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real-time monitoring, simulations, and predictive analytics. * Collaborate with cross-functional teams ...

Denso

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real-time monitoring, simulations, and predictive analytics. * Collaborate with cross-functional teams ...

ZS

Manager - Manufacturing Digital Twin

Evanston, IL · On-site

$200K - $229K/yr

MANAGER - MANUFACTURING DIGITAL TWIN We are seeking a high-impact Digital Twin Manager to lead the ... Lead cross-functional teams to model, simulate, and validate workflows, enabling clients to test ...

InfoVision, Inc.

Simulation Engineer

Irving, TX · On-site

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be responsible for building various simulation models (Digital Twins), which will enable businesses to ...

Cubic Corporation

Digital Twin Engineering Team Lead

Ashburn, VA · On-site

$202 - $220/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead a multidisciplinary engineering team responsible for Digital Twin architecture, modeling, simulation, visualization, and systems integration. Develop and maintain the Digital Twin technical ...

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All JobsDigital Twin Simulation Model Jobs

Digital Twin Simulation Model information

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$39K

$101.3K

$144K

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 the United States is $101,255.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,500.00 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.

More about Digital Twin Simulation Model jobs

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Cities with the most Digital Twin Simulation Model job openings:

What states have the most Digital Twin Simulation Model jobs?

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What job categories do people searching Digital Twin Simulation Model jobs look for?

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Digital Twin Simulation Model jobs near you
Infographic showing various Digital Twin Simulation Model job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

NVIDIA / Digital Twin / Simulation Integration Engineer

Cognizant Technology Solutions

Dallas, TX • On-site

$104K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

NVIDIA / Digital Twin / Simulation Integration Engineer
Location: Dallas, TX
Role Summary
We are seeking a Simulation Integration Engineer with experience in digital twin, simulation platforms, and NVIDIA ecosystem technologies. This role will help decompose simulation platform capabilities into service-oriented components that can integrate with autonomy services and UI workflows.
Key Responsibilities
  • Work with internal teams and NVIDIA counterparts to understand simulation platform capabilities.
  • Help decompose simulation capabilities into reusable service components.
  • Define inputs, outputs, data contracts, and artifact exchange patterns for simulation workflows.
  • Support integration with digital twin assets, OpenUSD/USD assets, terrain/site data, and simulation outputs.
  • Build or support adapter services that connect Helios autonomy services to NVIDIA / Physical AI simulation capabilities.
  • Validate simulation outputs for customer-facing operational workflows.
  • Document platform boundaries between Physical AI simulation and Helios operational simulation.
  • Support proof-of-concept and MVP integration demos.

Required Skills
  • 5+ years of experience in simulation, digital twin, robotics, 3D platforms, or platform integration.
  • Experience with NVIDIA Omniverse, Isaac Sim, OpenUSD/USD, or comparable simulation/digital twin platforms.
  • Understanding of simulation workflows, scenario definition, asset exchange, and simulation outputs.
  • Experience with Python and API-based integration.
  • Experience with containerized workloads and cloud environments.
  • Ability to work with complex technical ambiguity and define practical integration paths.

Preferred Skills
  • Experience with NVIDIA Omniverse Kit, Nucleus, Isaac Sim, or Isaac ROS.
  • Experience with robotics simulation or autonomous systems.
  • Experience with geospatial/terrain data and site modeling.
  • Experience with synthetic data generation or AI model validation.
  • Experience integrating simulation outputs into customer-facing applications.
  • Experience with AWS, Kubernetes, Docker, and CI/CD.

Deliverables
  • NVIDIA / Physical AI capability decomposition document.
  • Simulation input/output contract definitions.
  • Digital twin / USD asset exchange approach.
  • Integration adapter design and implementation support.
  • MVP simulation workflow demonstration.

About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until July 31st , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$104,000 - $150,000 per year
  • Bonus + Comprehensive Benefits

Additional Information
  • Onsite role
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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