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TerraPower · 1 day ago

Digital Twin Product Manager

Bellevue, WA

Full-time

Onsite

Senior Level

$139K/yr - $208K/yr

5+ years exp

TerraPower is a nuclear technology company based in Bellevue, Washington, focused on advancing global energy deployment through innovative nuclear solutions. They are seeking a Digital Twin Product Manager to lead the development of software that integrates design, construction, and operations data into a digital twin ecosystem, enhancing reactor delivery and operational insights.

Clean EnergyCleanTechEnergyNuclear

Comp. & Benefits

Responsibilities

Define and execute the roadmap for one or more digital twin products spanning design, construction, and operations

Translate program needs into clear product requirements and success metrics that tie back to cost, schedule, and risk reduction

Partner with engineering and IT teams to deliver data-integrated, model-based tools that connect simulations, models, and field data

Drive integration of external platforms (e.g., PLM/ERP/CMMS systems) into a cohesive digital environment

Collaborate with AI/ML engineers to deploy predictive and physics-informed models inside the twin ecosystem

Manage delivery from prototype to production, ensuring compliance with nuclear-grade software assurance standards (e.g., NQA-1, V&V)

Engage directly with users — reactor engineers, construction teams, and operators — to refine products that make their work faster, safer, and more informed

Measure and communicate product impact through data-driven metrics tied to FOAK/NOAK cost-down and performance goals

Qualification

Digital TwinProduct ManagementSystems EngineeringData IntegrationModel-Based EngineeringAI TechnologiesSimulation-Based PlatformsTechnical LiteracyStakeholder ManagementCommunication Skills

Required

Bachelor's degree in engineering, computer science, or a related technical field; advanced degree preferred

5+ years of experience in product management, systems engineering, or digital program delivery within industrial, energy, or aerospace sectors

Experience building or deploying digital twin, digital thread, or simulation-based data platforms

Understanding of model-based engineering, data integration, and software product delivery lifecycles

Proven ability to manage complex stakeholder ecosystems — engineering, IT, operations, vendors — to deliver end-to-end products

Strong technical literacy and the ability to communicate with engineers, data scientists, and business leaders alike

Preferred

Experience in regulated, safety-critical industries such as nuclear, aerospace, defense, or energy—familiar with rigorous engineering, quality assurance, and compliance environments

Proficiency with digital engineering and data platforms, including integration or customization of tools such as Palantir Foundry, Azure Digital Twins, Siemens Teamcenter, AVEVA, or Autodesk

Familiarity with advanced simulation and AI technologies, including cloud-based HPC workflows, physics-informed machine learning (PIML), surrogate modeling, and real-time monitoring analytics

Exposure to data-driven optimization and predictive systems, such as supply-chain simulation, scheduling optimization, asset health monitoring, demand forecasting, or anomaly detection