GE Vernova · 8 hours ago
Lead Informatics Engineer
Greenville, SC
Full-time
Hybrid
Mid, Senior Level
$89K/yr - $149K/yr
4+ years expGE Vernova is seeking a Lead Informatics Engineer to develop and deploy computational frameworks for predicting and optimizing next-generation alloys for gas turbine applications. The role involves designing models, managing material databases, and collaborating with engineers to translate insights into practical applications.
EnergyEnergy EfficiencySustainability
No H1B
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
Qualification
Required
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
Proven expertise in one of the following: crystal plasticity finite element methods OR machine learning driven image analysis OR Bayesian optimization for materials science
Ability to access and handle US Export Controlled information
Ability to work hybrid/onsite out of Greenville, SC office
Preferred
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
Benefits
Medical, dental, vision, and 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
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· $1.99M
2024-12-03Grant· $2.99M
2024-11-18Grant· $2.7M
Leadership Team
Scott Reese
President and CEO, GE Digital
Scott Strazik
Chief Executive Officer
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2026-01-22
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