Demo

Power Systems Engineer 2 - Operations Analysis (AI/Machine Learning)

ERCOT
Taylor, TX Full Time
POSTED ON 1/5/2026
AVAILABLE BEFORE 2/20/2026
At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow’s energy challenges while learning new skills and growing your career.

ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.

Working in Grid Operations at ERCOT provides an excellent opportunity to contribute to the real-time operations of the electric power grid while developing your engineering and leadership skills. Our world class, exceptional engineering teams work collaboratively with generators and control room operators to solve the energy demands of today using cutting edge technologies and resources.

In this role, you will provide engineering analysis and technical support to ensure continued reliable operations of the electric power grid in compliance with NERC Standards, ERCOT Protocols and Market Guides.

Provide electrical engineering analysis and technical support for the planning and operation of the electric power system. Implement appropriate system modeling, develops tools and procedures to monitor and control the system, performs system studies, analyzes simulated or actual operating results, develops solutions to current or future system issues, and appropriately reports findings and recommendations.

Engineers on this team will focus on working with our Energy Management System specifically with tuning and support of Load Frequency Control, Resource Limit Calculator, and Generation to be Dispatched. Additionally, engineers are responsible for analyzing system performance and reliability of the grid by conducting analysis using various techniques. Analysis includes but is not limited to system frequency control performance, Generator, Intermittent Renewable Resource, and Energy Storage Resource monitoring, and development of the methodology for Ancillary Service quantification with the use of statistical/probabilistic analysis, and machine learning techniques to ensure grid variability to ensure continuing reliable operations.

Job Duties

  • Understand and apply principles, theories and concepts related to the profession and ERCOT's culture.
  • Exercises judgment within defined procedures and practices to determine appropriate action.
  • Respond to inquiries and/or provide assistance and/or guidance to junior engineers
  • Work under the direction of a senior level engineer or supervisor/manager to complete departmental goals and assignments
  • Perform all work according to applicable rules and regulations including regulatory requirements and organization policies and procedures
  • Learns how to use and develop software tools that enhance system reliability and departmental/organizational efficiencies
  • Participate in teams to obtain input, address comments and perform studies
  • May act as mentor and advisor to less experienced engineers/analysts
  • Typically works independently on assignments and projects
  • Assist in developing tools, processes and procedures that enhance system reliability and departmental/organizational efficiencies
  • Participates with other ERCOT departments to select and implement system changes as needed


Experience Required

  • Requires minimum 2 years job related experience in excess of degree requirements
  • Experience as a power system engineer or similar type role is required for upper level positions.
  • Experience within the electric utility industry preferred
  • Proven data analytic skills and working with large data sets/relational databases
  • Experience with Python and SQL
  • Experience with statistical techniques such as Machine Learning or Artificial Intelligence


Education

  • Bachelor's Degree : Electrical Engineering or related field (Required)
  • or a combination of education and experience that provides equivalent knowledge to a major in such fields is required


WORK LOCATION:

  • This position is Hybrid. Employees will be required to be on-site in Taylor, TX at least 2-3 days per week, or more, as needed based on the business needs as determined by management
  • On-site schedules are flexible or may be rotated based on business needs as determined by the Manager
  • Remote work is required to be performed from your Texas residence.
  • Employees may opt to work on-site more than required or 100% of the time


Salary and level will be based on overall experience as determined by ERCOT.

The foregoing description reflects the minimum qualifications and the essential functions of the position that must be performed proficiently with or without reasonable accommodation for individuals with disabilities. It is not an exhaustive list of the duties expected to be performed, and management may, at its discretion, revise or require that other or different tasks be performed as assigned. This job description is not intended to create a contract of employment with ERCOT. Both ERCOT and the employee may exercise their employment-at-will rights at any time.

ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.

Expected Salary Range

$82,344 - $131,720

Salary : $82,344 - $131,720

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