About the position
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.
Responsibilities
- Broadly applies principles, theories and concepts related to the profession.
- May provide recommendations regarding issues outside the bounds of defined procedures and practices.
- Demonstrates good judgment in selecting methods and techniques for obtaining solutions.
- Acts as a resource to advise and may at times lead the work of lower level professional and/or support employees.
- Possess deep undertaking of optimizing AI/ML models for execution on AI specialized HW including GUPs/CUDA, TPUs, FPGA, etc.
- Possess experience working with CUDA, OpenCL, TensorRT, and other hardware acceleration frameworks for deep learning inference and optimization.
- Possess hands-on experience and in-depth knowledge of running tools in GPU workstations.
- Must be proficient in Python, TensorFlow, 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.
- 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 tools 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.
- Collaborates with power system engineers, data engineers, and business owners to integrate AI solutions.
- Reports and tracks trends and issues related to emerging AI applications for generation, transmission, and distribution technologies.
- Develops and manages both formal and informal networks and relationships with AI/computation research and innovation eco-systems.
- Explores partnerships and collaboration opportunities and establishes clear governance structures to ensure progress and timely communication.
- Proposes new or changes to existing ERCOT protocols, guides, or procedures which would allow market participation of the various emerging solutions.
Requirements
- Requires minimum 8 years job related work experience in excess of degree requirements.
- Minimum of 8 years of experience in area of optimization, computation, and applications development.
- Minimum 4 years of experience directly working on AI foundational models and AI hardware.
- Demonstrated record of success in managing a portfolio of programs and initiatives, working across cross-functional matrixed teams.
Nice-to-haves
- Understanding of the electric grid operations is a plus.
- Experience in planning analysis like economic dispatch, unit commitment etc.
Benefits
- Flexible on-site schedules based on business needs.
- Remote work options from Texas residence.
