Remote Fleet Performance Engineer: Predictive Analytics for Solar & Storage

GE Vernova; Pennsylvania; Hybrid; USD 98,000 - 164,000; Full time

Benefits offered by this job

Medical, dental, vision, prescription

Tuition assistance

Retirement plan with company match

Job summary

GE Vernova is seeking a Fleet Performance Engineer to monitor and analyze the installed fleet, identifying abnormal behavior and reliability risks. You will work with operations data, alarms, and field information to translate observations into engineering insights and actionable actions.

You will collaborate with Fleet Reliability, RCA, Controls, Data Analytics, Field Service, and Product Engineering to move from reactive investigations to proactive, predictive fleet management.

Qualifications

• Bachelor’s degree in Electrical Engineering, Power Electronics, Controls Engineering, Energy Engineering, Systems Engineering, or related 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 both engineering and leadership audiences.

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 dashboards, reports, and analytical views for 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 and validate corrective-action effectiveness.
• Develop early-warning indicators and analytical methods for condition-based and predictive maintenance.
• Translate findings into prioritized recommendations for operations, maintenance, engineering, controls, software, and product teams.
• Define data-contextualization requirements with Data Engineering and Analytics/AI teams.
• Identify data-quality and consistency issues and support corrective actions.
• Communicate fleet insights, risks, and actions clearly to technical teams, customers, and leaders.
• Maintain analytical methods and documentation to promote data-driven decision-making.

Skills

Analytical thinking

Problem-solving

Curiosity

Attention to detail

English proficiency

Education

Bachelor’s degree in Electrical Engineering or related field

Tools

Python

SQL

Power BI

MATLAB

Time-series analysis

Job description

GE Vernova is seeking a Fleet Performance Engineer to monitor and analyze the installed fleet, identifying abnormal behavior and reliability risks. You will work with operations data, alarms, and field information to translate observations into engineering insights and actionable actions.

You will collaborate with Fleet Reliability, RCA, Controls, Data Analytics, Field Service, and Product Engineering to move from reactive investigations to proactive, predictive fleet management.