{"id":4115012,"url":"https://alion.io/job/ge-vernova-power-systems-aiml-software-engineer","title":"Power Systems AI/ML Software Engineer","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":461,"ghost_share":0.02,"stale_share":0.618,"repost_share":0.076,"time_to_fill_p50_days":27,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Time Series","optional":false},{"name":"CI/CD","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Function Calling","optional":true},{"name":"Git","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Linux","optional":true},{"name":"MATLAB","optional":true},{"name":"NumPy","optional":true},{"name":"OpenDSS","optional":true},{"name":"Pandas","optional":true},{"name":"PowerWorld","optional":true},{"name":"PSCAD","optional":true},{"name":"PSS/E","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Simulink","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-14T05:30:05Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description Summary\nGE Vernova is an energy company that helps electrify and decarbonize the world. Our Electrification business builds the grid equipment, software and services that utilities use to run reliable power networks, including the GridOS software portfolio.As an engineer here, you will help grid operators use artificial intelligence (AI) to keep power flowing reliably. You will develop AI/ML-enabled software for GE Vernova's GridOS portfolio, translating power-system research and prototypes into dependable, secure and deployable products for grid monitoring, analysis and operator decision support.\nJob Description\nKey Responsibilities\nDevelop 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.\nDesign, train and evaluate time-series, deep-learning, graph-based, physics-informed, optimization and probabilistic methods for power-system applications.\nDevelop agentic AI and large language model (LLM) applications that securely connect to approved grid data and software tools through APIs, retrieval-augmented generation (RAG) and Model Context Protocol (MCP) interfaces.\nEvaluate models and agents for accuracy, robustness, latency, scalability, explainability and hallucination risk, including in on-premises utility environments.\nCreate domain-grounded datasets and validate solutions using power-system models, simulations, historical operational data and expert-reviewed scenarios.\nConvert prototypes into production-quality services and collaborate with product, engineering, research and customer teams to define high-value use cases, acceptance criteria and validation plans.\nQualifications\nYou are an engineer who can combine power-system knowledge, AI/ML methods and software engineering to move from an ambiguous research question to a validated production outcome.\nA formal education and subsequent Bachelor or Master's degree in Electrical Engineering, Computer Engineering, Computer Science or a related STEM field is nice to have. We are most interested in your total experience and professional achievements.\nRequired\nExperience applying AI/ML to power-system problems through industry work, research, internships or a thesis\nWorking knowledge of power-system analysis, operation or control, including transmission or distribution systems\nProgramming proficiency in Python and/or MATLAB\nExperience with PyTorch, TensorFlow, scikit-learn, Pandas, NumPy or similar scientific-computing and ML libraries\nExperience developing, testing, debugging and integrating production software in a collaborative engineering environment\nPreferred\nExperience with foundation models, LLMs, agentic AI, RAG, MCP tool calling, model evaluation, fine-tuning or human-in-the-loop workflows\nFamiliarity with PowerWorld, PSS/E, PSLF, PSCAD, OpenDSS or MATLAB/Simulink, and methods such as graph neural networks, knowledge graphs or physics-informed ML\nExperience with Git, APIs, databases, Linux, containers, CI/CD, observability and secure cloud or on-premises deployment\nWhat We Offer\nGE Vernova employees rise to the challenge of building a world that works. We offer competitive benefits that vary by employment status and national requirements, plus ongoing learning and development opportunities in power systems, AI/ML and software engineering.\nGE 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.\nGE 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).\nRelocation Assistance Provided: Yes\nFor candidates applying to a U.S. based position, the pay range for this position is between $108,560.00 and $162,840.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on November 10, 2026.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. 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