GE Aerospace · 3 days ago
Lead Engineer - Probabilistic Design - Aerospace Research
Niskayuna, NY
Full-time
Onsite
Senior Level, Lead/Staff
$90K/yr - $175K/yr
3+ years expGE Aerospace is a company focused on aerospace innovation, and they are seeking a Lead Engineer to contribute to the development of probabilistic design methods and machine learning tools. The successful candidate will work on challenging industry problems and collaborate with multidisciplinary teams to optimize engineering solutions for various aerospace applications.
AerospaceCommercialManufacturing
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Preferred
In-depth understanding and methods development experience in dynamic Bayesian networks, Bayesian networks, physics-base/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 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
Benefits
Healthcare benefits include medical, dental, vision, and prescription drug coverage
Access to a Health Coach
A 24/7 nurse-based resource
Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
Retirement benefits include the GE Retirement Savings Plan
A tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Access to Fidelity resources and planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability insurance
Life insurance
Paid time-off for vacation or illness
Relocation Assistance Provided: Yes
Company
GE Aerospace
GE Aerospace is a provider of jet and turboprop engines, as well as integrated systems.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.01BKey Investors
JobsOhioUS Department of EnergyAir Force Research Laboratory
2025-07-22Post Ipo Debt· $2B
2025-01-10Grant· $9M
2024-04-02IPO
Leadership Team
Amy Gowder
President and CEO Defense and Systems
H. Lawrence Culp
Chairman & CEO, GE Aerospace
Recent News
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