GE Vernova · 15 hours ago
Multi-Physics Modeling & Scientific Machine Learning Engineer
Niskayuna
Full-time
Onsite
Mid, Senior Level
$89K/yr - $149K/yr
2+ years expGE Vernova is at the forefront of developing transformative technologies for a sustainable energy future. They are seeking a Multi-Physics Modeling & Scientific Machine Learning Engineer to advance high-fidelity modeling techniques and solve complex engineering challenges across various technology platforms, including electrification systems and wind turbines.
EnergyEnergy EfficiencySustainability
No H1B
Responsibilities
Independently execute tasks using your technical skills for projects at the confluence of physics, computing and machine learning
Work as part of a team executing on multi-generation technology programs to enable future design and modeling technology advancements
Formulate and develop advanced computational methodologies, implement them according to state-of-the-art software practices
Execute high fidelity simulations and perform high fidelity computational analyses
Use proprietary, opensource and commercial tools as required by the project
Participate in systematic validation & verification efforts to advance/demonstrate new technologies
Communicate results effectively with stakeholders and document technical findings
Qualification
Required
Doctorate (PhD) in fluid flow physics, computational fluid dynamics (CFD), thermo‑sciences, or a closely related discipline
Legal authorization to work in the U.S. is required
Must be willing to work out of an office located in Niskayuna, NY
Preferred
2+ years of post-doctoral research experience and/or 3+ years of research experience in an industrial or laboratory setting
Research and development experience in advanced computational methods for multiscale physics applications including fluid mechanics, aerodynamics, reacting flows etc
Research and development experience in state-of-the-art machine learning algorithms for scientific applications
Experience in Python, machine learning libraries (such as PyTorch) and knowledge of deployment at scale on high performance compute clusters
Demonstrated proficiency in high-fidelity multiphysics modeling, cutting edge machine learning methods, and high-performance computing
Outstanding programming skills including expertise with Python, JAX, pyTorch, FORTRAN, C++
Knowledge of high-fidelity computational fluid mechanics and thermal analysis tools such as Ansys, COMSOL etc
Ability to lead and /or contribute to the development of research proposals to internal business units and external government agencies such as Department of Energy, Department of Defense etc
Passion for science and technology and clear evidence of innovation and creativity
Ability to work effectively in a multidisciplinary team
Strong interpersonal skills
Strong analytical skills
Ability to work under pressure and meet deadlines
Excellent written and verbal communication skills
Benefits
Medical
Dental
Vision
Prescription drug coverage
Access to Health Coach from GE Vernova
A 24/7 nurse-based resource
Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
A tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
Access to Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Company
GE Vernova
GE Vernova provides energy consulting, gas power, and grid solutions.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$7.68MKey Investors
U.S. Department of Energy Office of ElectricityARPA-E
2024-12-03Grant· $2.99M
2024-12-03Grant· $1.99M
2024-11-18Grant· $2.7M
Leadership Team
Scott Reese
President and CEO, GE Digital
Scott Strazik
Chief Executive Officer
Recent News
2026-02-05
2026-02-05
News Archives - Times Kuwait
2026-02-04
Company data provided by crunchbase