Principal Modeling & Simulation Engineer - AI/ML for Nuclear

Westinghouse Electric Company

Cranberry Township (Butler County)

Hybrid

USD 103,000 - 129,000

Full time

2 days ago
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Benefits offered by this job

Medical benefits
Wellness program
401(k) match
Paid vacations
Flexible work
Educational reimbursement
Career programs
Global recognition
Employee referral program

Job summary

Westinghouse Electric Company invites a Modeling and Simulation Principal Engineer to lead projects in the Dynamic Simulation Lab and advance nuclear simulations. Based in Cranberry Township with hybrid work, you will collaborate with cross-functional teams to apply AI/ML to optimize workflows and broaden application areas.

The role requires MSc in Engineering or related discipline and 5+ years in computational fluids or nuclear engineering, plus ML experience and a strong professional network.

Qualifications

  • MSc in Engineering or related discipline; 5+ years in Computational Fluid Dynamics/Nuclear Engineering.
  • Experience with advanced simulations and ML or data analysis.
  • Strong internal/external network in modeling and simulations.

Responsibilities

  • Lead specific projects within the Dynamic Simulation Lab and take an active part in simulation activities.
  • Engage with teams across Westinghouse to understand needs and ongoing activities in dynamic simulation.
  • Follow and advance simulation activities in the Nuclear Industry and other areas; initiate external collaborations.
  • Introduce new technology, including AI/ML, to improve workflows and product optimization.

Skills

5+ years exp
ML & data analysis
Advanced simulations
Nuclear domain knowledge
Problem solving
Stakeholder collaboration

Education

MSc in Engineering
Nuclear Engineering

Job description

Westinghouse Electric Company invites a Modeling and Simulation Principal Engineer to lead projects in the Dynamic Simulation Lab and advance nuclear simulations. Based in Cranberry Township with hybrid work, you will collaborate with cross-functional teams to apply AI/ML to optimize workflows and broaden application areas.

The role requires MSc in Engineering or related discipline and 5+ years in computational fluids or nuclear engineering, plus ML experience and a strong professional network.

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