Power Systems AI/ML Engineer

About the role

As a Power Systems AI/ML Engineer at ETAP, you will play a key role in the development, enhancement, and deployment of ETAP’s AI-based solutions. In this role, you will collaborate with cross-functional teams including power systems engineers, data scientists, software developers, and UI specialists to design and implement intelligent assistance tools that support modeling, analysis, planning, protection, and operation of electrical power systems. Your contributions will directly enable utilities, industries, and infrastructure customers to optimize system reliability, integrate renewable energy, and enhance overall grid performance.

Responsibilities

• Design, develop, and maintain AI-driven features for ETAP’s electrical engineering applications.
• Collaborate with power system engineers to translate domain knowledge and analytical workflows into machine learning models and intelligent automation tools.
• Implement algorithms for system modeling, network optimization, fault analysis, system planning, energy management, and grid stability.
• Develop and integrate large language model (LLM)-based assistants to enhance user experience and reduce engineering workload.
• Work with data teams to curate training datasets, perform model validation, and ensure accuracy and reliability of AI outputs.
• Optimize computational performance and ensure scalability of AI-driven functionalities across ETAP product suites.
• Participate in code reviews, documentation, testing, and continuous improvement processes.
• Participate in the software development lifecycle, including spec, coding, testing, debugging, and documentation of new web-based AI features and enhancements.
• Support troubleshooting, debugging, and release cycles for already deployed copilot features.
• Prepare detailed technical documentation, including user manuals, technical specifications, and application notes on AI.
• Ensure that AI algorithms and software solutions comply with relevant industry standards and regulatory requirements.
• Stay current with emerging technologies in AI, LLM, power systems, cloud, and software development.
• Contribute to white papers, technical articles, patents, and presentations to share knowledge with the industry and promote ETAP's AI capabilities.

Requirements

• Master's or Ph.D. degree in Electrical Engineering, Power Systems, Computer Science, AI/ML, or related field.
• Strong understanding of electrical power systems (generation, transmission, distribution, industrial power).
• Hands-on experience with Python, C++/C#, or similar programming languages, and machine learning frameworks.
• Ability to work collaboratively in a multidisciplinary environment.
• Strong problem-solving, analytical, and communication skills.
• Highly motivated, self-managed, detail-oriented, and well-organized.

Preferred Qualifications

• Knowledge of large language models (LLMs), natural language processing (NLP), or reinforcement learning.
• Familiarity with cloud-based deployment environments.
• Prior experience in utility, industrial, or renewable energy system applications.
• Experience working with ETAP software.

Experience

Typically, 1-3 years of experience in power systems engineering or a related field, with a focus on AI and LLM.

Work Authorization

Candidates must be authorized to work in the United States on a permanent basis without the need for current or future visa sponsorship.

Pay

Salary Range: $87,000 - $125,000 USD Annual. This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.

Background Check

ETAP requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, and credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.