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  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 forecastingo Digital twins, surrogate modeling, or physics-informed MLo LLMs,…