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General Electric Research Engineer - Probabilistic Design - Aviation Research in Niskayuna, New York

Job Description Summary

As a member of the probabilistic design team, you will contribute to the development of state-of-the-art probabilistic methods and engineering design tools, solving challenging real-world industry problems in the area of metamodeling/surrogates, machine learning, model calibration and validation, uncertainty quantification, optimization and robust design, inverse modeling, engineering analysis model validation for GE Aviation, Power, and Renewable businesses.

Aviation Research will continue to play a vital role in supporting the industry through a historic recovery while shaping the future of flight. We invent the future of flight, lift people up and bring them home safely. Our commitment to lead the industry, to keep safe the flying public and the armed forces, and to lift up one another and our communities, remains our north star. Our purpose is what ties us to one another and gives meaning to our work.

Job Description

Essential Responsibilities :

The successful candidate for this position will participate in developing state-of-the-art probabilistic and machine learning methods and tools to provide for world-class NPI and NTI and Services capabilities throughout the company. You will work in a multi-disciplinary team contributing to the applications for performing prognostics and optimizing structures and systems under uncertainty for performance, weight and cost. Applications include turbo machinery, electrical machinery, energy generation and storage devices, medical imaging equipment, and similar mechanical systems.

You will:

  • Collaborate with GE business design and services communities in the development of methods for probabilistic design, machine learning and optimization

  • Apply probabilistic design, machine learning and optimization methods to real-world industrial applications for NPI and NTI design and Services maintenance planning across GE businesses

  • Implement probabilistic design, machine learning and optimization methods into GE internal design and services tools.

Qualifications/Requirements :

  • Doctorate degree in Mechanical Engineering, Aerospace Engineering, or related discipline OR Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline with at least 5 years industrial experience

  • Experience in probabilistic design, and/or optimization of engineering components and systems

  • Fundamental knowledge in probabilistic methods, Bayesian methods, and optimization applied to engineering design problems

  • Fundamental understanding of solid mechanics and tools used in structural analysis such as ANSYS or similar FE software

  • Ability to develop, modify and utilize custom computer codes in various languages such as Python, C++, Matlab, Visual Basic, Perl, R, etc

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening

  • Because of the specific categories of data handled by GE Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of embargoed countries subject to restriction under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran, Cuba, and Sudan). Please note that citizens of embargoed countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship from a non-embargoed country can be considered.

  • Must be willing to work out of an office located in Niskayuna, NY

  • Must be 18 years or older

  • You must submit your application for employment through to be considered

Desired Characteristics :

  • In-depth knowledge of mechanical design and analysis methods

  • In-depth understanding of Dynamic Bayesian networks, Bayesian networks, uncertainty quantification, model calibration, verification & validation, updating and prediction, DOE/DACE, metamodeling, machine learning, sensitivity

  • Experience with software development

  • Experience with fracture mechanics

  • Demonstrated interpersonal, leadership and communication skills in a global team environment

  • Strong interpersonal skills and analytical skills

  • Ability to work across all functions/levels as part of a team

  • Ability to work under pressure and meet deadlines

  • Excellent written and verbal communication skills

Additional Eligibility Qualifications :

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer ( . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes