Lead Fleet Performance Engineer

GE Vernova

3d•$98,400 - $164,000•Remote

About The Position

The Fleet Performance Engineer at GE Vernova monitors, analyzes, and interprets the technical performance of the installed fleet to identify abnormal behavior, degradation, recurring issues, and emerging reliability risks. The role combines engineering knowledge with data-driven analysis of operational data, alarms, events, configurations, maintenance history, and field information to understand product behavior in real operating conditions and convert observations into actionable engineering insights. The engineer works closely with Fleet Reliability and Root Cause Analysis (RCA), Controls Engineering, Data Analytics, AI, Field Service, Product Engineering, Quality, and R&D teams. A key objective is to move the organization from reactive issue investigation toward proactive and predictive fleet management, across solar and energy-storage assets. The role is remote and requires 10–15% domestic and international travel.

Requirements

Bachelor’s degree from an accredited college or university in Electrical Engineering, Power Electronics, Controls Engineering, Energy Engineering, Systems Engineering, or a related technical field.
Engineering experience with power conversion, renewable energy, energy storage, industrial controls, electrical systems, or similar complex technical products.
Experience analyzing operational or field data to solve technical problems.
Ability to interpret alarms, events, trends, electrical measurements, and system operating conditions.
Ability to communicate complex technical findings clearly to engineering and leadership audiences.
Ability to work effectively across multiple engineering disciplines and global teams.
Professional proficiency in English.
Willingness to travel 10–15% domestically and internationally.

Nice To Haves

Experience with utility-scale solar inverters, Battery Energy Storage Systems (BESS), power conversion systems, or renewable power plants.
Experience in Field Service, Commissioning, Product Engineering, Reliability Engineering, or technical troubleshooting.
Understanding of inverter and power-conversion architecture.
Understanding of plant controls, SCADA, PLCs, historians, alarms, and event logging.
Experience working with large operational datasets.
Working knowledge of Python, SQL, Power BI, MATLAB, or equivalent analytical platforms.
Experience with time-series data analysis.
Ability to understand reliability concepts such as failure rate, MTBF, population analysis, and failure-mode classification.
Experience supporting Root Cause Analysis.
Familiarity with statistical analysis and anomaly detection.
Ability to understand interactions between hardware, software, controls, environmental conditions, and system operation.
Strong curiosity and ability to identify patterns across apparently unrelated technical events.
Strong understanding of electrical and system-level engineering principles.
Strong analytical and structured problem-solving skills.

Responsibilities

Monitor fleet performance, availability, reliability, and energy-production KPIs across solar and energy-storage assets.
Analyze operational data, alarms, events, and maintenance history to identify performance deviations, recurring issues, and emerging risks.
Develop and maintain standardized dashboards, reports, and analytical views that provide fleet- and asset-level visibility.
Investigate underperformance and quantify its technical, operational, and customer impact.
Benchmark assets, sites, configurations, and operating conditions to identify performance gaps and best practices.
Partner with Reliability and RCA teams to define affected populations, support investigations, and validate corrective-action effectiveness.
Develop early-warning indicators and analytical methods that support condition-based and predictive maintenance.
Translate analytical findings into prioritized recommendations for operations, maintenance, engineering, controls, software, and product teams.
Define data and contextualization requirements with Data Engineering and Analytics/AI teams, including asset hierarchy and phase-module traceability.
Identify data-quality, completeness, and consistency issues and support sustainable corrective actions.
Communicate fleet insights, risks, and recommended actions clearly to technical teams, customers, and business leaders.
Maintain analytical methods, assumptions, and documentation while promoting data-driven decision-making and continuous improvement.

Benefits

Medical, dental, vision, and prescription drug coverage.
Access to 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.
Discretionary annual bonus eligibility.
Professional development and competitive compensation.