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Digital Twin Engineer Jobs in Utah (NOW HIRING)

The Director will work closely with existing engineering and customer teams to drive architectural ... Background in digital twin, simulation, or equipment modeling technologies. * Familiarity with ...

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Digital Twin Engineer information

See Utah salary details

$73.3K

$126.9K

$166.1K

How much do digital twin engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for digital twin engineer in Utah is $126,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $123,800.00 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 Utah? For Digital Twin Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Digital Twin Engineer jobs in Utah look for? The top searched job categories for Digital Twin Engineer jobs in Utah are:
What cities in Utah are hiring for Digital Twin Engineer jobs? Cities in Utah with the most Digital Twin Engineer job openings:
Infographic showing various Digital Twin Engineer job openings in Utah as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,876 per year, or $61 per hour.
Digital Twin AI Framework Engineer

Digital Twin AI Framework Engineer

PassiveLogic

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 6 days ago


Job description

Digital Twins AI Framework Engineer
Are you looking for a career-defining challenge developing the world's first digital twin-AI standard for autonomous systems? PassiveLogic is looking for a highly motivated and dedicated candidate who wants to learn from the best and stretch their skills.
About PassiveLogic®
PassiveLogic is the first fully autonomous platform for buildings. We've reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world's carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions.
We are looking for team members who have a passion for technology and want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives-backed by the world's leading investors-working together to make the future a reality.
About the Role
This is a career-defining opportunity to play a crucial role in a hyper-scale AI company that is transforming the future of autonomous systems, energy, and the built environment.
As the Digital Twin AI Framework Engineer, you will play a foundational role in our Digital Twins team in developing the descriptive language for Quantum.
Quantum is a new digital twin-AI standard for defining autonomous systems. While other digital twin technologies provide labels for system components, Quantum takes digital twins further by defining both the existential nature of components and the relationships between them. By defining systems as digital twins in the form of a heterogeneous graph network, systems can become inference-able, introspect-able, and action-able. Learn more about Quantum here.
What you'll do
Develop Quantum Digital Twins: Develop and evolve the Quantum digital twin object model, ontology, and API.
Advance the Quantum Knowability Model: Develop the Quantum Knowability Model - evolve the formal proofs of digital twin definitions, systems, events, and compositional stage by which the formalisms can be known.
Support the AI inferencing framework: Support the development of the digital twin AI inferencing framework and the accelerator compute team.
Human-centered ontological design: Advocate for human-centered UX/UI at every stage of ontology development.
Iterate on and evolve Quantum: Apply systems theory and design processes throughout the Quantum evolution process, always collecting feedback and improving the language.
Collaborate across teams: Collaborate and coordinate with Quantum working groups including: formal methods, AI, compute, physics, geometry, compiler, and semantic teams, as well as with other Quantum partners to address their feedback and incorporate their needs.
What you'll bring
If your experience does not meet all our posted requirements below, we'd still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that's you, please apply!
You must have
  • Proven experience:
    • A MS/PhD in CS/CE/EE/Mathematics, information science, computer science, computational linguistics, computational physiology, human comfort, physics, or equivalent experience.
    • Demonstrated experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge graph environment.
    • Enthusiasm for human-centered API design and object model design.
    • Demonstrated expertise in multi-disciplinary system modeling.
    • Strong theoretical background in systems theory and graph theory.
    • Strong programming and software architecture skills (C++, Swift, Rust, etc).
  • Exceptional communication skills: Extraordinary teammate with excellent interpersonal skills
  • Organized and strategic: Strong analytical and problem-solving skills
  • Collaborative mindset: Open to feedback and committed to a continuous improvement process.
  • Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.
  • Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up.

You should have
  • Strong experience with/in:
    • Relational databases (PostgreSQL, MySQL, etc.)
    • Machine learning and AI
    • Reasoning and inferencing
    • Working with data sterilization formats (GraphQL, ODATA, XML, JSON)
    • Driving standard adoption
  • Familiarity with:
    • 3D model and BIM formats (gbXML, epJSON, IFC, USD, gITF, etc)
  • Interest in digital twins: Interest in becoming a technical and industry expert in digital twins

It's helpful to have
  • Experience with:
    • Semantic modeling (RDF, OWL, SPARQL)
    • Differentiable programming
    • Numerical methods and graph computing
    • Swift programming language
  • Building science fundamentals: A fundamental understanding of building energy, HVAC systems, and/or electromechanical systems.
  • Knowledge of current semantic and digital twin research: Well-informed in the current market of semantic and digital twin research (Haystack, Brick, DTDL, Building Ontology, SAREF, OneM2M, Matter, W3C Web of Things, Omniverse etc).
  • Interest in energy and control systems: Interest in energy systems or mechanical-electrical control.

We know there are candidates who might not fit everything we've described above, or who might have experience and skills we haven't considered. PassiveLogic can sometimes be flexible enough to shift responsibilities to the right person, or otherwise identify open or upcoming roles that may better fit your professional background. Even if you don't meet all the requirements above, we still want to hear from you.
Compensation, Benefits & Perks:
  • Competitive compensation
  • Generous equity share package
  • Medical, dental and vision coverage
  • Disability and life Insurance options
  • Flex PTO
  • Team-building events
  • Free catered lunch in the office Monday - Friday
  • Free ski pass (We are at the base of Big Cottonwood Canyon)
  • Free National Park pass

When applying, include:
  • A cover letter telling us why you're the perfect candidate for PassiveLogic
  • A resume
  • Extra mile - include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative

Diversity and inclusion
Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all-come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.
Department Software Engineering Locations Salt Lake City Employment type Full-time