Engineering Specialist - AI/ML for Energy Systems

Eaton’s CTO Corporate Technology Office division is currently seeking a Engineering Specialist - AI/ML for Energy Systems.

The expected annual salary range for this role is $122000 - $179000 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

• This role must report on-site at our Golden, CO research facility. Relocation assistance is available for a qualified candidate currently residing in the USA.

What you’ll do:

Job Summary:

Eaton Research Labs (ERL), the corporate R&D organization within Eaton's Chief Technology Office (CTO), is seeking a Engineering Specialist to help develop next-generation AI-enabled solutions for energy systems. This role will focus on applying artificial intelligence, machine learning, digital twins, optimization, and advanced analytics to solve challenges in power systems, data centers, electrification, and distributed energy resources.

This is a high-impact research role for someone who wants to apply AI/ML to real-world energy infrastructure challenges. The successful candidate will help shape Eaton’s next generation of intelligent power management technologies—bridging advanced algorithms, energy-domain expertise, and commercialization pathways across global businesses.

Eaton is a power management company made up of over 92,000 employees, doing business in more than 175 countries. Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours.

This position is based in Golden, Colorado. Relocation support may be considered for candidates outside the local area.

In this role you will: • Lead innovative research programs focused on AI/ML applications for energy systems. • Develop AI-enabled control, optimization, forecasting, and decision-making algorithms. • Lead government-funded and internally funded research projects. • Collaborate with Eaton businesses, universities, national laboratories, and industry partners. • Author patents, invention disclosures, technical reports, and publications. • Present technical results to leadership, customers, and external stakeholders. • Mentor junior engineers and researchers.

Why Join ERL: • Influence Eaton's future technology strategy. • Work directly within the CTO organization. • Lead breakthrough research programs. • Collaborate with national laboratories and universities. • Create intellectual property and industry impact. • Work on technologies that transition from research concepts into commercial power management products used globally.

Qualifications:

Required (Basic) Qualifications:

• Master’s degree in Electrical Engineering or related field from an accredited institution plus 9+ years of industrial/entrepreneurial experience after Master’s in researching, developing and designing technology solutions in the relevant and adjacent areas: (artificial intelligence, machine learning, digital twins, optimization, and advanced analytics to solve challenges in power systems, data centers, electrification, and distributed energy resources) .

….Or… • PhD degree in Electrical Engineering or related field from an accredited institution plus 4+ years of industrial/entrepreneurial/academic experience after Ph.D. in researching, developing and designing technology solutions in the same relevant and adjacent areas.

• Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.”

• Must be authorized to work in the United States without company sponsorship now or in the future.

Preferred Qualifications: • Demonstrate strong experience in one or more of the following areas related to AI/ML: o AI/ML for energy systems, controls, optimization, or forecasting o Digital twins, surrogate modeling, or physics-informed ML o LLMs, agentic AI, scalable AI frameworks, or MLOps • Possess a good foundation in power and energy systems and have demonstrated experience applying AI/ML techniques to these domains.

Skills:

Position Criteria: • Collaborative orientation. • Self-motivated and goal-oriented individual. • Excellent written and verbal communication skills.

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates’ privacy rights and data security will be protected in accordance with applicable laws.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.