Lead Informatics Engineer

GE Vernova • Greenville, NC

4d • Hybrid

About The Position

The Material Behaviors & Informatics Engineer will develop and deploy computational, statistical, and probabilistic frameworks towards the prediction, optimization, and characterization of next-generation alloys and chemistries for gas turbine applications.

Requirements

• Bachelor’s, Master’s, or Ph.D. degree in Materials, Metallurgical or Mechanical Engineering, Data or Computer Science, or related discipline from an accredited college or university.
• At least 4 years relevant experience in materials.
• Strong foundation in materials science fundamentals.
• Ability to access and handle US Export Controlled information.
• Ability to work hybrid/onsite out of Greenville, SC office.

Nice To Haves

• Strong foundation in structure-property-behavior relationships of alloys like nickel, steel and materials like ceramics and their strengthening mechanisms.
• Familiarity with modeling of mechanical and physical properties of these materials.
• Knowledge of statistical characterization methods such as Gaussian and Bayesian distributions.
• Knowledge of computational materials science, and tools such as Calphad, Crystal Plasticity, Density Functional Theory.
• Familiarity with material testing, characterization, and interpretation of results.
• Experience in developing statistical/probabilistic models for regression, optimization, and prediction related tasks.
• Familiarity of translating research into practical engineering applications.
• Familiarity with relevant python libraries for machine learning, optimization, regression, and visualization (scikit-learn, pytorch, scipy, seaborn, matplotlib, etc.)
• Familiarity with different categorical and regression-based machine learning algorithms and knowledge of their strengths and limitations
• Familiarity with supervised, semi-supervised, and un-supervised machine learning algorithms
• Familiarity with multi-objective optimization
• Knowledge of computer vision fundamentals (object detection, segmentation, classification, tracking) and models
• Strong organizational skills and demonstrated ability to drive projects to completion.
• Effective at working independently on complex tasks and managing multiple priorities under tight deadlines.
• Strong verbal and written communication skills.
• Ability and willingness to work effectively as part of a high performance, cross-functional team to drive impactful results.
• Strong people skills to collaborate with team members and support tasks.
• 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.

Responsibilities

• Design and deploy robust computational, statistical, and probabilistic models to predict material properties and behavior from existing datasets, field performance data, and scientific literature
• Use data-driven techniques to identify new next-generation alloys and optimize known materials and material testing programs
• Create and manage material data bases
• Define the technical roadmap for materials informatics initiatives, establishing best practices and methodologies
• Partner with materials engineers and design engineers to translate computational insights into practical applications
• Provide mentorship to team members, fostering a culture of innovation and continuous learning
• Present findings and recommendations to technical and business stakeholders, translating complex analyses into strategic decisions

Benefits

• GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
• Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, 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 Vernova 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 financial planning consultants.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
• GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs
• GE Vernova 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 GE Vernova welfare benefit plan or program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees