Grid Transformation Lead – AI & Optimization at ERCOT – Taylor, TX

Grid Transformation Lead – AI & Optimization at ERCOT – Taylor, TX, United States

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.

This role will be responsible for creating and communicating a vision which anticipates, identifies, and explains challenges and opportunities that ERCOT will encounter as the Texas electric power grid transforms. This role will develop approaches, processes, and solutions that allows ERCOT to maximize its effectiveness and progressively achieve higher levels of readiness. This position requires deep technical expertise in the area of AI/ML foundational models, AI hardware architecture level knowledge for application efficiency gains, and deep optimization experience to drive Grid Transformation programs and initiatives using highly skilled matrixed resources from across the organization to drive solutions for upcoming grid challenges.

• Broadly applies principles, theories and concepts related to the profession. A seasoned, experienced professional with an in-depth/full understanding of area of specialization.
• May provide recommendations regarding issues outside the bounds of defined procedures and practices. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
• Wide latitude for decisions within assignments, programs and projects; impact is generally limited to the project or department.
• Acts as a resource to advise and may at times a lead the work of lower level professional and/or support employees. Generally, represents the department on projects and may perform in a project leadership role.

• Possess deep undertaking of optimizing AI/ML models for execution on AI specialized HW including GUPs/CUDA, TPUs, FPGA, etc to implement parallel computing techniques and memory efficient algorithms.
• Possess experience working with CUDA, OpenCL, Tensor
  
  RT, and other hardware acceleration frameworks for deep learning inference and optimization.
• Possess hand‑on experience and in-depth knowledge of running tools in setting up and running tools in GPU workstations. Must be proficient in Python, Tensor Flow, PyTorch, or another AI framework.
• Possess deep undertaking of the optimization tools like Gurobi/Cplex to improve solver efficiency through constraint reformulation, parallel computation, and heuristic techniques. Application of optimization techniques for planning analysis like economic dispatch, unit commitment etc. is a plus
• Employs highly developed problem resolution skills and expertise to understand how to architect a problem solution in terms of right hardware selection, solution methodology, and AI tools.
• Ability to work with cloud computing (AWS, Azure, GCP) and data analytics tool like data bricks, Palantir, or snowflake.
• Ability to adopt cybersecurity best practices for AI applications in critical infrastructure and ensure compliance with industry standards
• Provides strategic and technical expertise to internal and external stakeholders and brings awareness of research and innovation activities.
• Collaborates with power system engineers, data engineers, and business owners to integrate AI solutions and explores various solution modalities such as white papers, research papers, proof of concepts, pilot programs, and prototype developments.
• Reports and tracks trends and issues related to emerging AI…