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Digital Twin Engineer Jobs in Columbus, OH (NOW HIRING)

... Engineering, Operations, or a related field * 6+ years of relevant experience in consulting, industry, or a combination of both * Experience working with clients on digital twin, spatial technologies ...

Drive adoption and advancement of digital twin methodologies * Expand UAV/drone operations and ... Bachelor's degree in Surveying, Geomatics, Civil Engineering, or related field * Professional Land ...

Drive adoption and advancement of digital twin methodologies * Expand UAV/drone operations and ... Bachelor's degree in Surveying, Geomatics, Civil Engineering, or related field * Professional Land ...

Drive adoption and advancement of digital twin methodologies * Expand UAV/drone operations and ... Bachelor's degree in Surveying, Geomatics, Civil Engineering, or related field * Professional Land ...

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Showing results 1-20

Digital Twin Engineer information

See Columbus, OH salary details

$77.8K

$134.6K

$176.3K

How much do digital twin engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for digital twin engineer in Columbus, OH is $134,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $131,400.00 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.

What are popular job titles related to Digital Twin Engineer jobs in Columbus, OH? For Digital Twin Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Digital Twin Engineer jobs in Columbus, OH look for? The top searched job categories for Digital Twin Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Digital Twin Engineer jobs? Cities near Columbus, OH with the most Digital Twin Engineer job openings:
Infographic showing various Digital Twin Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 50% Full Time, 44% Part Time, 3% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $134,615 per year, or $64.7 per hour.
Physical and Spatial AI Manager

Physical and Spatial AI Manager

Deloitte

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Manager - Physical & Spatial AI, OT Transformation

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance. 

The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.

We are seeking a Manager with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.

 Recruiting for this role ends on 06/01/2026.

Work You'll Do

As a Manager at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.

  • Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
  • Translate business and operational priorities into transformation roadmaps and technical strategies
  • Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
  • Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
  • Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
  • Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
  • Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
  • Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
  • Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors

The Team

Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.

In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments. 

Qualifications

Required

  • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
  • 6+ years of relevant experience in consulting, industry, or a combination of both
  • Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to 
    • NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
    • GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
  • Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred

  • Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
  • Experience in data center, sports venue, consumer, or retail environments
  • Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
  • Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
  • Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
  • Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
  • Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
  • Strong presentation skills and comfort communicating with both business and technical audiences
  • Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
  • Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 151,800 to $ 253,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Manager - Physical & Spatial AI, OT Transformation

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance. 

The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.

We are seeking a Manager with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can translate business and operational needs into scalable architecture, platform, and transformation solutions. Strong client experience aligned to NVIDIA and/or Google Cloud Platform stacks, with emphasis on either OT transformation design and deep technical solution architecture is ideal.

 Recruiting for this role ends on 06/01/2026.

Work You'll Do

As a Manager at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support, and contribution to market eminence.

  • Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
  • Translate business and operational priorities into transformation roadmaps and technical strategies
  • Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
  • Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
  • Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
  • Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
  • Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
  • Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
  • Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors

The Team

Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.

In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments. 

Qualifications

Required

  • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
  • 6+ years of relevant experience in consulting, industry, or a combination of both
  • Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
  • Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to 
    • NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
    • GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
  • Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred

  • Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
  • Experience in data center, sports venue, consumer, or retail environments
  • Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
  • Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
  • Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
  • Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
  • Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
  • Strong presentation skills and comfort communicating with both business and technical audiences
  • Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
  • Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 151,800 to $ 253,000. You may also be eligible to participate in a discretionary annual incentive program, subj...


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