Job description

ETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports customers in their digital transformation and sustainable energy transitions for a green and smart future, helping them to prioritize safety, maximize reliability, and stay resilient. Our employees passion for excellence, innovation, and customer satisfaction is our most-prized resource. If you share that passion — and want to be part of a company that leads the energy transition towards a cleaner and more resilient world for future generations — we invite you to join us! ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer. Job Title: Power Systems AI/ML Engineer Job Location: Irvine, CA Job Type: Full-time / Hybrid 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. Key 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. Required Qualifications: 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, details-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. Contribute to white papers, technical articles, patents and presentations to share knowledge with the industry and promote ETAP s AI capabilities. Experience working with ETAP software is an advantage. Education and Experience: Master s or Ph.D. degree in Electrical Engineering, Power Systems, Computer Science, AI/ML, or related field. Typically, 1-3 years of experience in power systems engineering or a related field, with a focus on AI and LLM. Work Authorization Requirement Candidates must be authorized to work in the United States on a permanent basis without the need for current or future visa sponsorship. 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. 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, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.

Requirements

Must-haves

ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.
Job Title: Power Systems AI/ML Engineer
Job Location: Irvine, CA
Job Type: Full-time / Hybrid
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.
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.

Nice-to-haves

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.
Contribute to white papers, technical articles, patents and presentations to share knowledge with the industry and promote ETAP s AI capabilities.
Experience working with ETAP software is an advantage.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningllmpython

Platform: workday
Effort: long