TerraPower-posted 7 days ago
Intern
Bellevue, WA
501-1,000 employees

The Digital Twin Internship offers students the opportunity to contribute to TerraPower’s efforts to develop next-generation digital capabilities for advanced reactor systems. As part of the Digital Products & AI team, you will build and test simplified digital-twin simulations that represent the behavior and degradation of reactor subsystems — helping define how predictive-maintenance insights could be generated from engineering models. This role blends simulation, data modeling, and systems thinking, giving students experience at the intersection of engineering and digital technology. What you’ll gain: · Hands-on experience building and analyzing simulation-based digital-twin models. · Exposure to predictive-maintenance methods and how digital twins support lifecycle reactor management. · Mentorship from senior engineers, data scientists, and product leaders driving TerraPower’s digital transformation. · Insight into how simulation and modeling accelerate design, reduce risk, and prepare for future operational readiness.

  • Develop or adapt basic subsystem simulations (e.g., pumps, heat exchangers) to model normal and degraded operating conditions.
  • Explore how simulation outputs can represent early indicators of equipment health or performance degradation.
  • Visualize and interpret model results to identify patterns useful for future predictive-maintenance analytics.
  • Document modeling assumptions, key parameters, and lessons learned.
  • Present findings in a capstone presentation to TerraPower’s Digital Products & AI team.
  • Current undergraduate or graduate student in Mechanical Engineering, Nuclear Engineering, Computer Science, Data Science, or Systems Engineering.
  • Coursework or project experience in: o Simulation or system modeling (e.g., COMSOL, ANSYS, MATLAB/Simulink, OpenFOAM, or Python). o Basic programming or data analysis (Python, MATLAB, or similar).
  • Strong analytical, problem-solving, and communication skills.
  • Interest in digital-twin concepts and predictive-maintenance technologies.
  • The successful candidate will possess a high degree of trust and integrity, communicate openly and display respect and a desire to foster teamwork.
  • Familiarity with reliability engineering or degradation modeling is a plus
  • Competitive Compensation
  • Hourly pay rate
  • Weekly stipend for out of area Interns
  • Weekly commuter stipend for local area Interns
  • Paid Time Off (PTO)
  • Interns accrue 1 hour of PTO for every 30 hours worked
  • Holiday Schedule
  • Paid holidays commensurate with Internship period and TerraPower Holiday Schedule
  • Relocation Assistance for out of area Interns
  • Intern pay rate will be commensurate with degree path and academic year completed at start of Internship.
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