Posted:
10/23/2025, 5:00:00 PM
Location(s):
Town of Niskayuna, New York, United States ⋅ New York, United States
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning
Roles and Responsibilities:
As a Materials Scientist – Computations, you will:
Conduct research in an interdisciplinary team environment involving materials discoveries, process optimization, property optimization, root cause analysis for processing and manufacturing improvements for a variety of materials systems.
Develop high throughput and automated quantum chemistry approach to predict materials properties at the atomistic scale.
Develop and apply physics-based and data-driven models for complex materials.
Share in the authorship of program proposals to external agencies and participate in the execution of government contracts.
Work across organizations, including interfacing with external agencies, GE Vernova businesses and Universities on technical approach and execution.
Share project progress internally and externally through oral presentations and written reports.
Foster a multidisciplinary and inclusive team environment
Perform all work in accordance with EHS guidelines.
Required Qualifications:
PhD in Materials Science & Engineering, or related field or MS degree in Materials Science & Engineering or related field with a minimum of 5 years of experience in a research environment.
Experience with Python, MATLAB, and/or other language
Proficient in material informatics and/or machine learning tools and techniques such as TensorFlow, Deep Learning, PyTorch
Must have experience with VASP, Gaussian, Quantum Espresso, or Psi4
Experience with developing automate computational workflow for high throughput quantum chemistry simulation
Ability to work with high-performance computing clusters
Experience with developing active learning protocols for on-the-fly training to accelerate simulations
Strong interpersonal, leadership and communication skills in a global team environment.
Ability to work across all functions/levels as part of a team.
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 out of an office located in Niskayuna, NY
Desired Characteristics:
Experience in the use of computational materials science toward industrial research and development projects, including the application of machine learning and AI-based tools to materials-focused outcomes.
Strong patent, presentation, and publication record
Experience with proposal writing
Demonstrated ability to develop and deploy automated high-throughput quantum chemistry workflows
The base pay range for this position is $88,600-$147,600. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for a performance bonus. This position will be posted until at least 7/19/2025.
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, 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, as well as access to 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.
General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova 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 Vernova 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
Website: https://www.gevernova.com/
Headquarter Location: Boston, Massachusetts, United States
Employee Count: 10001+
Year Founded: 2021
IPO Status: Public
Last Funding Type: Grant
Industries: Energy ⋅ Energy Efficiency ⋅ Sustainability