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Digital Twin Simulation Model Jobs in Indiana (NOW HIRING)

About the role As a Senior Consultant specializing in Simulation within our Engineering & Digital practice, you will lead the development and application of advanced simulation models to support the ...

Senior Mechanical Engineer

Fishers, IN · On-site

$97.80K - $129.20K/yr

You will own the mechanical integrity of our Arrive Point hardware, moving fluidly between digital twin simulation, rapid prototyping, and large-scale manufacturing oversight. In this role, you aren ...

Digital Twin; * Digital Manufacturing Strategy Development; * Digital Manufacturing Blueprint ... Possesses financial modeling skills; * Possesses the ability to influence and shape thinking of ...

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

Skills: Modeling and Simulation, Simulation Analysis, System Integration, System Testing ... We operate across 50 countries worldwide, offering leading capabilities in digital modernization ...

Skills: Modeling and Simulation, Simulation Analysis, System Integration, System Testing ... We operate across 50 countries worldwide, offering leading capabilities in digital modernization ...

Collaborate with MBSE, LVC, and other modeling and simulation teams to maintain digital thread continuity from SysML models through AFSIM simulations to analysis reports and T&E artifacts Required ...

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Digital Twin Simulation Model information

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$37.1K

$96.4K

$137K

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

As of May 29, 2026, the average yearly pay for digital twin simulation model in Indiana is $96,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $123,200.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Digital Twin Simulation Model jobs in Indiana? For Digital Twin Simulation Model jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Digital Twin Simulation Model jobs? Cities in Indiana with the most Digital Twin Simulation Model job openings:
Physical and Spatial AI Engineer III

Physical and Spatial AI Engineer III

Deloitte

Indianapolis, IN

$55 - $73.75/hr

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
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 candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

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


Work You'll Do
The ideal candidate will 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 pursuits, 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
* 3+ 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
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 $ 116,200 to $ 229,100. 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:

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
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 candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

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


Work You'll Do
The ideal candidate will 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 pursuits, 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
* 3+ 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
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 $ 116,200 to $ 229,100. 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.

Education:Bachelor's DegreeEmployment Type:

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