Digital Twin Product Lead

TerraPower•Bellevue, WA

About The Position

TerraPower is seeking a Digital Twin Product Lead to define and guide the company’s digital twin strategy and own delivery of capabilities for its Natrium program. The role will establish a practical definition of a nuclear reactor digital twin, align teams across Design, Engineering, Construction, Operations, and Enterprise AI & IT, and connect the digital twin philosophy to TerraPower’s broader Digital Product and Enterprise AI goals. The Product Lead will develop enough understanding of relevant modeling, simulation, engineering, operational-data, and AI/ML technologies to frame decisions and evaluate trade-offs. They will distinguish products, platforms, and architecture when guiding investment and design, ensure solutions comply with data, security, export-control, and regulatory requirements, and prevent duplicated or unnecessary work. The role manages internal and external stakeholder relationships and takes end-to-end ownership of digital twin initiatives, including roadmaps, prioritization, success measures, delivery reporting, escalation, and stopping work that does not provide value.

Requirements

Bachelor’s degree in engineering, computer science, physics, or a related technical field, or equivalent experience.
At least 8 years of experience in technical product management, digital engineering, systems engineering, or technical program leadership.
At least 3 years leading digital twin, modeling and simulation, or comparable digital engineering initiatives.
Familiarity with analysis codes that a digital twin may need to wrap or validate against, including internally developed tools, DOE/INL’s MOOSE framework and NEAMS tools, GOTHIC, RELAP5-3D or TRACE, MELCOR, and MCNP or Serpent.
Demonstrated understanding of the differences among products, platforms, and architecture, and experience applying those distinctions to technology strategy and investment decisions.
Ability to understand complex design, engineering, and operational processes and workflows and translate them into prioritized use cases and requirements.
Track record of delivering technical capabilities through engineering teams and external partners without directly owning execution.
Ability to independently evaluate technical, resource, and capability trade-offs and make defensible decisions.
Excellent communication skills, including setting requirements and expectations for engineers and explaining trade-offs to non-technical stakeholders and executives.

Nice To Haves

Experience in nuclear, energy, aerospace, defense, or another highly regulated, engineering-intensive industry.
Familiarity with full-scope nuclear plant simulators.
Familiarity with nuclear design, licensing, and quality frameworks such as NRC regulations, 10 CFR 50 Appendix B, and NQA-1, including implications for engineering data and digital tools and support for verification and validation processes.
Experience with nuclear cybersecurity requirements such as 10 CFR 73.54 or NEI 08-09 in the United States.
Experience with engineering data management, PLM, configuration management, or systems engineering (MBSE) practices.
Understanding of how AI/ML and knowledge graphs can augment digital twins.
Experience establishing a new capability or discipline within an organization, including defining its vision, operating model, and governance.
Advanced degree in a relevant technical field.

Responsibilities

Define and communicate TerraPower’s digital twin philosophy, including what a nuclear reactor digital twin is and is not, how its forms relate, and the guiding principles and maturity model.
Build alignment across Design, Engineering, Construction, Operations, and Enterprise AI & IT around shared digital twin terminology and direction.
Serve as the authoritative voice on digital twin strategy, resolve competing interpretations, and connect the strategy to Digital Product and Enterprise AI goals.
Develop a working understanding of modeling and simulation, 3D/CAD and BIM environments, engineering data and configuration management, sensor and operational data, and AI/ML as applied to advanced nuclear.
Distinguish products, platforms, and architecture and use those distinctions to guide investment and design decisions.
Evaluate technical, resource, and capability trade-offs proposed by engineering teams and make or recommend clear decisions.
Keep projects focused on defined use cases, value, and boundaries, preventing distraction, gold-plating, and scope creep.
Partner with enterprise architecture, data management, and information security to ensure solutions meet data, security, export-control, and regulatory requirements.
Build relationships with internal stakeholders in Design, Engineering, and Operations, understanding their needs without becoming a pass-through for every request.
Manage third-party technology and services partners by setting expectations, scope, and success criteria.
Identify existing models, data, tools, and efforts before new work begins, preventing duplication and ensuring engagements deliver net value.
Own Natrium digital twin initiatives end to end, including initiating, scoping, prioritizing, progressing, and completing projects.
Maintain a prioritized digital twin roadmap and portfolio aligned with Digital Product goals and program milestones.
Define success measures, report progress, risks, and outcomes to leadership, make timely decisions, escalate when appropriate, and close or stop work that is not delivering value.