Overview Lead Engineer - Probabilistic Design - Aerospace Research at GE Aerospace. 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 metamodeling/surrogates, machine learning, model calibration and validation, uncertainty quantification, optimization and robust design, inverse modeling, and engineering analysis model validation for GE Aerospace and U.S. government projects. Job Description: Roles and Responsibilities are described below.

Roles and Responsibilities

Collaborate with GE Aerospace 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 design and Services maintenance planning for GE Aerospace business.

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

Train and coach GE engineers on probabilistic and machine learning methods and tools.

Lead and manage projects, people and funding.

Qualifications / Requirements

Doctorate degree in Mechanical Engineering, Aerospace Engineering with at least 3 years industrial experience, or related discipline OR Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline with at least 8 years industrial experience.

Experience in probabilistic design, machine learning, and/or optimization of engineering components and systems.

Fundamental knowledge in probabilistic methods, machine learning, Bayesian methods, and optimization applied to engineering design problems.

Experience with leading government programs and proposal writing.

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 for employment visas, now or in the future, for this job opening.

Must be willing to work onsite in Niskayuna, NY.

Desired Characteristics

In-depth understanding and methods development experience in dynamic Bayesian networks, Bayesian networks, physics-based/physics-informed forecasting, time-series modeling, image-based surrogates, probabilistic deep learning, transfer learning, physics discovery, uncertainty quantification, model calibration, verification & validation, DOE/DACE, metamodeling, sensitivity analysis, and inverse design.

Experience in solving complex engineering problems using probabilistic and machine learning methods above.

Experience with mechanical design and analysis methods.

Experience with software development.

Experience with fracture mechanics.

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

Strong interpersonal 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.

Benefits and Additional Information The base pay range for this position is 90,000 - 175,000 USD annually. This position is eligible for an annual discretionary bonus based on a percentage of base salary. This posting is expected to close on January 2, 2026.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program (24/7 confidential assessment, counseling and referral services). Retirement benefits include the GE Retirement Savings Plan with company matching contributions, as well as Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time off for vacation or illness.

GE Aerospace 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. This role requires access to U.S. export-controlled information; eligibility for access is contingent on U.S. government authorization.

Relocation Assistance Provided: Yes

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