ZipRecruiter

Log In

1

Digital Twin Simulation Model Jobs (NOW HIRING)

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

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

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.

Caterpillar

Sr. Digital Twin Engineer

Irving, TX · On-site

$117K - $155K/yr

The Simulation & Digital Twin Engineer will design, develop, and integrate simulation and ... Develop the simulation logic and behavioral models governing machine and system behavior. * Real ...

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

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

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

K&K Technical

Simulation Engineer

Liberty, NC · On-site

$70 - $75/hr

Experience with digital twin technologies within manufacturing environments * Familiarity with Siemens Process Simulate, Delmia, or related modeling platforms * Lean Manufacturing and/or Six Sigma ...

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 ...

next page

Showing results 1-20

All JobsDigital Twin Simulation Model Jobs

Digital Twin Simulation Model information

See salary details

$39K

$101.3K

$144K

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

As of Jul 26, 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 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.
More about Digital Twin Simulation Model jobs
What cities are hiring for Digital Twin Simulation Model jobs? Cities with the most Digital Twin Simulation Model job openings:
What states have the most Digital Twin Simulation Model jobs? States with the most job openings for Digital Twin Simulation Model jobs include:
What job categories do people searching Digital Twin Simulation Model jobs look for? The top searched job categories for Digital Twin Simulation Model jobs are:
Digital Twin Simulation Model jobs near you
Infographic showing various Digital Twin Simulation Model job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,255 per year, or $48.7 per hour.

Staff Digital Twin Engineer

Graphcore

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

About us
Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.
Job Summary
We are looking for a Staff Digital Twin Engineer to help design, build and evolve digital twin capabilities that support the development, validation and operation of advanced AI compute systems. Reporting to an Engineering Manager within the Digital Twin / Simulation Platform team, this role will lead significant technical work across simulation, 3D visualization, data integration and workflow automation, with a particular focus on the Omniverse platform, OpenUSD-based pipelines, data center operations, and rack and blade-level design and simulation workflows.
The Team
The Digital Twin / Simulation Engineer works with internal Graphcore teams and Softbank Group affiliates. Team will be responsible for the design, development and integration of simulation and visualization capabilities that support data center digital twin, machine behavior modeling and interactive 3D experiences. This role combines simulation engineering, real-time visualization and 3D scene-building using NVIDIA Omniverse and modern tool chains.
Team will build behavioral logic, physics integrations, and visualization layers that enable accurate, high-performance representation of data center components, job sites and workflows.
Responsibilities and Duties
  • This is a hands-on technical leadership role, involving architecture, implementation, technical guidance and mentoring, without direct line management responsibility.
  • Apply MBSE methodologies to drive the development of systems and ensure traceability from requirements to implementation.
  • Develop and deploy simulation logic and behavioral models governing machine and system behavior. Implement real-time simulation algorithms, including kinematics, dynamics, and control-system interactions. This includes integration of physics engines (e.g., PhysX, Omniverse Physics, or equivalent) to support realistic behavior and machine-environment interactions.
  • Develop and execute model validation and verification plans, ensuring digital twins are accurate and numerically stable.
  • Develop robust scene composition, data modeling and asset management approaches for engineering digital twins across component, blade, rack and facility-level views.
  • Create high-fidelity 3D models, scenes and environments in Omniverse. Develop interfaces that connect simulations to real-time visualization, dashboards, and operator-focused experiences. Implement automated test pipelines and document model correlations, limitations, and validation scoring.
  • Contribute to toolchain and pipeline design, including scripting utilities, automated test frameworks, and modular code libraries. Collaborate across data engineering/architecture, autonomy, product groups, and engineering to ensure interoperability and alignment with business needs.
  • Evaluate and implement new simulation libraries and real-time rendering technologies that enhance simulation fidelity and performance. Work hands-on with multiple digital-twin platforms, such as: NVIDIA Omniverse (primary environment), CARLA, Siemens NX/Teamcenter/Plant Simulation, Dassault 3DEXPERIENCE, Ansys Twin Builder, Unity or similar.
  • Integrate engineering and operational data from simulation, test, telemetry, design systems, asset inventories and infrastructure sources into coherent digital twin environments.
  • Support testing, debugging, performance analysis and reliability improvements across digital twin applications and services.
  • Establish engineering best practices for OpenUSD schemas, Omniverse workflows, version control, documentation and release processes.
  • Provide technical guidance, code review and mentoring to engineers working with digital twin, simulation and data integration technologies.
  • Produce clear technical documentation and communicate progress, risks and decisions to technical and non-technical stakeholders.
Candidate Profile
Essential
  • Degree in Mechanical, Electrical, Systems Engineering, Computer Science or related discipline.
  • 8+ years of engineering experience in automation, simulation, or controls.
  • Experience designing, building or maintaining digital twin, simulation, 3D visualization or engineering platform software.
  • Hands-on experience with the Omniverse platform, including Omniverse Kit, extensions, connectors or related development workflows.
  • Strong knowledge of OpenUSD / USD concepts, including composition, layering, schemas, assets and scene graph workflows.
  • Experience working with data center operations, infrastructure environments, operational planning or systems used to manage complex technical facilities.
  • Experience developing simulation or modeling workflows that support engineering decisions for complex hardware, infrastructure or operational systems.
  • Strong software engineering skills in Python, C++ or both, with experience building maintainable production-quality tools or services.
  • Experience integrating complex engineering and operational data from multiple systems, formats or APIs into usable software workflows.
  • Understanding simulation, real-time visualization, physics-based modeling, rendering pipelines or spatial computing concepts.
  • Ability to lead complex technical tasks independently, manage priorities and make sound engineering decisions with incomplete information.
  • Strong collaboration and communication skills, with the ability to work effectively across multiple engineering disciplines.
  • Experience reviewing designs and code, sharing technical knowledge and helping other engineers adopt new tools and practices.
Desirable
  • Experience applying digital twin technologies in data center, high-performance computing, semiconductor, robotics, manufacturing or complex systems environments.
  • Experience with rack and blade design concepts, including physical layout, serviceability, power, cooling, cabling, networking or mechanical constraints.
  • Experience modeling thermal, power, airflow, mechanical, cabling, networking or serviceability characteristics for rack-scale or facility-scale systems.
  • Experience with synthetic data generation, sensor simulation, telemetry visualization or operational monitoring workflows.
  • Knowledge of containerized deployment, cloud or on-premises infrastructure, CI/CD and automated testing for engineering tools.
  • Experience with 3D asset pipelines, materials, lighting, rendering, physics simulation or model optimization.
  • Familiarity with adjacent platforms or technologies such as Unreal Engine, Unity, Blender, ROS, CAD/CAE tools, DCIM tools or PLM systems.
  • Understanding of AI, machine learning, accelerated computing or large-scale system architecture concepts.
  • Experience developing user-facing tools for engineering or operations teams, including workflow design, usability improvements and technical enablement.
Benefits
In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Apply