GE Vernova is seeking a Multi-Physics Modeling & Scientific Machine Learning Engineer to work on advanced technologies for clean energy solutions. The role requires expertise in fluid dynamics, computational methods, and machine learning, emphasizing collaboration in a multidisciplinary setting
Job Summary
Contribute to the development and application of cutting-edge, high-fidelity, multi-physics modeling techniques and methods to solve complex engineering challenges across GE Vernova’s next-generation technology platforms.
Revolutionize design and optimization methodologies using physics modeling insights, data-driven physics surrogates of spatio-temporal systems, scientific machine learning at scale and high-fidelity scientific computing on HPC.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
Matching Summary
Match Score: 88
GE Vernova is seeking a Multi-Physics Modeling & Scientific Machine Learning Engineer to work on advanced technologies for clean energy solutions. The role requires expertise in fluid dynamics, computational methods, and machine learning, emphasizing collaboration in a multidisciplinary setting.
Salary
Base: $89,300.00 - $148,700.00; Bonus/Equity: discretionary annual bonus; Benefits: medical, dental, vision, retirement savings plan, tuition assistance, paid parental leave, disability, life insurance, holidays, permissive time off