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Digital Twin Engineer Jobs (NOW HIRING)

Graphcore

Staff Digital Twin Engineer

Austin, TX · On-site

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 ...

Graphcore

Staff Digital Twin Engineer

Austin, TX

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 ...

Focused Energy Inc

Optical Engineer, Digital Twin

Austin, TX · On-site

$127K - $165K/yr

We are seeking an Optical Engineer for our Digital Twin efforts to develop, validate, and apply advanced optical and multiphysics simulation tools that form the backbone of our laser Digital Twin. As ...

Dfwairport

Leverages digital twin technologies to enable predictive analysis, asset optimization, and data ... Partners with data engineering teams, to establish governance frameworks, data pipelines, and ...

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 and mentor global teams of simulation engineers, process modelers, and digital solution ...

PepsiCo

Senior Director Digital Twin Warehousing

Plano, TX · On-site

$178K - $362K/yr

The portfolio spans Spatial Twins, Engineering (Simulation) Twins, Operational Twins, Integrated ... Responsibilities Warehousing Digital Twin Product Strategy (Vision, Roadmap, Scale): * Own the ...

PepsiCo

Senior Director Digital Twin Warehousing

Plano, TX · On-site +1

$178K - $362K/yr

The portfolio spans Spatial Twins, Engineering (Simulation) Twins, Operational Twins, Integrated ... Responsibilities Warehousing Digital Twin Product Strategy (Vision, Roadmap, Scale): * Own the ...

PepsiCo

Senior Director Digital Twin Warehousing

Plano, TX · On-site +1

$178K - $362K/yr

The portfolio spans Spatial Twins, Engineering (Simulation) Twins, Operational Twins, Integrated ... Digital Twin Products & Capabilities Delivery (Warehousing Portfolio): * Deliver Spatial Digital ...

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All JobsDigital Twin Engineer Jobs

Digital Twin Engineer information

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$80.5K

$139.4K

$182.5K

How much do digital twin engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for digital twin engineer in the United States is $139,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,000.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Digital Twin Engineer, you need a strong background in systems engineering, data modeling, simulation, and a relevant engineering or computer science degree. Familiarity with digital twin platforms (such as Siemens NX, ANSYS Twin Builder), IoT frameworks, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable effective design, monitoring, and optimization of virtual models, ensuring accurate real-time insights for operational decision-making.

What are some common challenges Digital Twin Engineers face when integrating real-time data from physical assets?

Digital Twin Engineers often encounter challenges related to data quality, connectivity, and system interoperability when integrating real-time data from physical assets. Ensuring that sensors and IoT devices reliably provide accurate, timely data can be complex, especially in large-scale or legacy environments. Additionally, aligning data formats and protocols between various systems requires strong problem-solving and collaboration with IT and operations teams. Overcoming these hurdles is crucial for building effective digital twins that deliver actionable insights.

What is a Digital Twin Engineer?

A Digital Twin Engineer is a professional who designs, develops, and maintains digital replicas of physical assets, systems, or processes. These virtual models use real-time data to simulate, predict, and optimize performance, allowing organizations to improve efficiency, detect problems early, and make data-driven decisions. Digital Twin Engineers typically work in industries such as manufacturing, energy, automotive, and smart cities, leveraging technologies like IoT, AI, and simulation software to create and manage digital twins.

What is the difference between Digital Twin Engineer vs Data Engineer?

AspectDigital Twin EngineerData Engineer
Required CredentialsBachelor's in Engineering, Computer Science, or related fields; knowledge of IoT, simulation, and modelingBachelor's in Computer Science, Data Science, or related fields; expertise in databases, ETL, and data pipelines
Work EnvironmentIndustrial settings, manufacturing, IoT platforms, simulation labsData centers, cloud platforms, analytics teams, software development environments
Employer & Industry UsageManufacturing, aerospace, energy, smart citiesTech companies, finance, healthcare, e-commerce

The Digital Twin Engineer focuses on creating virtual replicas of physical assets for simulation and monitoring, often working in industrial environments. In contrast, Data Engineers build and maintain data pipelines and infrastructure to support data analysis across various industries. While both roles require technical skills, their applications and environments differ significantly.

More about Digital Twin Engineer jobs
What cities are hiring for Digital Twin Engineer jobs? Cities with the most Digital Twin Engineer job openings:
What states have the most Digital Twin Engineer jobs? States with the most job openings for Digital Twin Engineer jobs include:
What job categories do people searching Digital Twin Engineer jobs look for? The top searched job categories for Digital Twin Engineer jobs are:
Digital Twin Engineer jobs near you
Infographic showing various Digital Twin Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $139,368 per year, or $67 per hour.

Staff Digital Twin Engineer

Graphcore

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 21 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.

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