Principal Engineer - Digital Twin Assurance

UL Solutions is seeking a Principal Engineer, Digital Twin Assurance, for the Modeling & Simulation Center of Excellence. This role evaluates digital twins and related digital engineering systems used to support engineering, business, safety, and lifecycle decisions.The successful candidate will define how confidence in digital twins should be evaluated. This includes the technical basis of the digital representation, the quality and relevance of supporting data, and the processes used to maintain confidence as the system evolves.A core requirement of this role is demonstrated experience in Verification & Validation (V&V), governance, and lifecycle assurance of simulations and digital engineering methods. The role treats digital twins as technical systems that may include models, data, software, connected assets, and operational processes.This role requires experience in modeling and simulation, data integration, engineering analysis, AI and analytics, connected systems, and standards. Digital twin confidence depends on the model and the surrounding technical context. The goal is to help customers make credible decisions for design, certification support, operations, maintenance, and lifecycle management.The Principal Engineer will help build this capability within UL Solutions. This person will apply sound engineering judgment, support customer and market learning, and turn digital twin assurance concepts into guidance customers can understand and use.A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers’ products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.EducationBachelor’s degree in engineering, computer science, data science, or a related technical field.Advanced degree preferred.Experience10+ years of engineering experience in modeling and simulation, digital engineering, systems engineering, connected products, or related fields.Recent experience developing, evaluating, deploying, or governing digital twins or related digital engineering systems.Experience developing validation methods for digital models, data-driven systems, software-controlled systems, or connected systems.Experience turning technical methods into practical guidance, repeatable practices, or customer-facing technical work.Technical SkillsModeling and simulation, including CFD, FEA, system simulation, reduced-order modeling, or hybrid modeling approaches.Verification and validation of digital models, including ASME V&V methods, model credibility, uncertainty quantification, and fitness-for-purpose assessment.Digital twin systems, including connected data sources, software processes, configuration management, and lifecycle governance.Knowledge of engineering standards, regulatory requirements, and conformity-assessment principles.Critical CompetenciesTechnical judgment in digital twin assurance, V&V, lifecycle governance, and service development.Ability to turn complex technical concepts into guidance customers can understand and use.Clear communication with technical, commercial, and executive audiences.Ability to lead across teams and influence without authority.What you’ll experience working for ULS UL Solutions has been pioneering change since 1894 and we’re still leading the way. From day one, we’ve blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. That’s where you come in — because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe. This is more than a job. It’s a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today — and tomorrow. As a member of our safety science community, you’ll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. Everyone here is unique. But we’re also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future — one where everyone benefits. Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.comTotal Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $165,000 to $200,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday and personal days (totaling 12 days) and sick time off (72 hours).#LI-SG2#LI-HybridDigital Twin Assurance Capability DevelopmentBuild technical capability in digital twin assurance.Establish practical methods to evaluate confidence in models, data, connected systems, and lifecycle processes.Define fit-for-purpose criteria for digital twin uses across design, certification support, operations, maintenance, and decision-making.Develop repeatable technical practices that can be adapted across industries and customer needs.Work with customers and internal teams to identify needs and improve technical approaches.Modeling, Simulation, and Digital Engineering MethodsApply modeling and simulation methods to digital twin evaluations, including physics-based, empirical, reduced-order, and AI-enabled approaches.Use V&V practices to connect assumptions, evidence, and intended decisions.Evaluate uncertainty, limitations, and evidence needs for the intended use of the digital twin.Assess the credibility and appropriate use of AI-enabled methods in digital engineering applications.Digital Twin Systems and Lifecycle AssuranceEvaluate digital twins as systems that combine models, data, software, connected assets, and operational processes.Assess how changes to the physical system, data environment, or software environment may affect confidence over time.Define lifecycle requirements for maintaining trust as use cases and operating conditions change.Strategy, Standards, and Market EngagementIdentify technologies, standards, and market needs related to digital twins, simulation credibility, connected products, and lifecycle assurance.Turn customer needs into technical guidance and repeatable ways of working.Represent UL Solutions in industry working groups, technical committees, standards development, and conferences.Stakeholder and Customer EngagementCollaborate with modeling and simulation, R&D, certification, testing, software, cybersecurity, data science, and business teams.Engage customers to understand technical challenges and explain how digital twin assurance supports credible decisions.Advise customers on modeling approach, data needs, system context, and validation planning.Provide technical guidance for proposals, early engagements, and customer discussions.Posting Date: 2026-09-18