Power Systems AI/ML Software Engineer

GE Vernova•Bellevue, WA
•$108,560 - $162,840

About The Position

GE Vernova is an energy company that helps electrify and decarbonize the world. Its Electrification business builds grid equipment, software, and services for utilities, including the GridOS software portfolio. The Power Systems AI/ML Software Engineer develops AI/ML-enabled software for the GridOS portfolio, translating power-system research and prototypes into dependable, secure, deployable products for grid monitoring, analysis, and operator decision support. The role combines power-system knowledge, AI/ML methods, and software engineering to move from research questions to validated production outcomes. The position collaborates with product, engineering, research, and customer teams to define use cases, acceptance criteria, and validation plans. GE Vernova offers competitive benefits that vary by employment status and national requirements, and ongoing learning and development opportunities in power systems, AI/ML, and software engineering. The U.S.-based pay range is $108,560 to $162,840, with geographic differentials in certain areas. Compensation may depend on experience, education, and skills; the role is eligible for a discretionary annual bonus. Relocation assistance is provided. Applicants must be legally authorized to work in the United States, and an offer is conditioned on successful completion of a drug screen, as applicable.

Requirements

  • Experience applying AI/ML to power-system problems through industry work, research, internships, or a thesis.
  • Working knowledge of power-system analysis, operation, or control, including transmission or distribution systems.
  • Programming proficiency in Python and/or MATLAB.
  • Experience with PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, or similar scientific-computing and ML libraries.
  • Experience developing, testing, debugging, and integrating production software in a collaborative engineering environment.

Nice To Haves

  • A Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related STEM field.
  • Experience with foundation models, LLMs, agentic AI, RAG, MCP tool calling, model evaluation, fine-tuning, or human-in-the-loop workflows.
  • Familiarity with PowerWorld, PSS/E, PSLF, PSCAD, OpenDSS, or MATLAB/Simulink.
  • Familiarity with graph neural networks, knowledge graphs, or physics-informed ML.
  • Experience with Git, APIs, databases, Linux, containers, CI/CD, observability, and secure cloud or on-premises deployment.

Responsibilities

  • Develop AI/ML applications for transmission and distribution use cases, including grid monitoring, fault and event analysis, forecasting, anomaly detection, contingency analysis, and operator decision support.
  • Design, train, and evaluate time-series, deep-learning, graph-based, physics-informed, optimization, and probabilistic methods for power-system applications.
  • Develop agentic AI and large language model applications that securely connect to approved grid data and software tools through APIs, retrieval-augmented generation, and Model Context Protocol interfaces.
  • Evaluate models and agents for accuracy, robustness, latency, scalability, explainability, and hallucination risk, including in on-premises utility environments.
  • Create domain-grounded datasets and validate solutions using power-system models, simulations, historical operational data, and expert-reviewed scenarios.
  • Convert prototypes into production-quality services.
  • Collaborate with product, engineering, research, and customer teams to define high-value use cases, acceptance criteria, and validation plans.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Prescription drug coverage
  • Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
  • GE Vernova Retirement Savings Plan, including a tax-advantaged 401(k) savings opportunity with company matching 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
  • Ongoing learning and development opportunities
  • Discretionary annual bonus
  • Relocation assistance
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