Lead Engineer - Engineering Digitalization & AI

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-09-04

Job description

Eaton's CTO Corporate Technology Office division is currently seeking a Lead Engineer - Engineering Digitalization & AI. This role will be based out of any US Eaton location on a hybrid schedule.

The expected annual salary range for this role is $105000 - $154000 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.

What you'll do:

Eaton's CTO Corporate Technology Office division is currently seeking a Lead Engineer - Engineering Digitalization & AI.

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.

Eaton's Corporate Technology Office is currently seeking a Lead Engineer - Engineering Digitalization & AI to join our team. This role is open to a hybrid work schedule out of an Eaton Engineering site within the US.

Position Overview:
The Digital Engineering team is currently seeking a Lead Engineer - Digitalization & AI to support AI-enabled engineering transformation initiatives across the enterprise. Eaton's Digital Engineering is a corporate RDE function within Eaton's Corporate CTO office, responsible for innovative and breakthrough design strategy development for Eaton's products and services. You will collaborate across divisions, CoEs, product teams, IT, and global engineering groups to architect, develop, and industrialize AI and digital engineering technologies supporting Eaton's future products and platforms.

With focus on delivering value, the Digitalization and AI Lead Engineer will combine engineering domain expertise and AI to develop production-ready workflows spanning requirements, architecture, design, simulation, test, and manufacturing, increasing engineering throughput and product quality.

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 day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours.

In this role you will:
• Create Agentic AI design models performing end to end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration
• Integrating AI into traditional engineering tools for RM, DFMEA, DFSS, etc. to enhance engineers' productivity and process efficiency.
• Develop Multi physics digital twins. Drive cross domain model integration for electromagnetics, thermal, structural, fluid, and control systems, aligned with NVIDIA Omniverse SimReady, and similar initiatives.
• Build Physics AI co sim engines combining PINNs + FE solvers + surrogate inference to automate geometric optimization loops and real time design guidance.
• Build internal CAD aware transformer/GNN models trained on Eaton's entire 3D portfolio to enable design retrieval, completion, and conditional regeneration.
• Deploying enterprise scale digital twins for design, operations, and manufacturing with connected digital threads.

Qualifications:

Required (Basic) Qualifications:
• Master's or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field
• Minimum of three (3) years developing AI/ML models, CAE workflows, or digital twin systems.
• Minimum of two (2) years of industry experience in aerospace, electrical systems design, or relevant engineering discipline..
• Extensive knowledge in computing and artificial intelligence, and AI agents development.
• Must be able to work in the United States without corporate sponsorship now and in the future.
• No relocation benefit is being offered for this position. Only candidates that currently reside within the immediate geographical area of 50 miles of a US Eaton location.

Preferred Qualifications:
• Masters in an engineering discipline or related field from an accredited institution.
• Demonstrated strong experience in product development using high fidelity multi-physics models.
• Expertise in artificial intelligence, physics-informed machine learning, and digital twins.
• Experience in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications is a plus.

Skills:

Position Criteria:
• Forward thinking, fast learning, and excellent problem-solving skills.
• Strong written and verbal communication skills in dealing with senior management, colleagues, customers, and suppliers.
• Ability to multi-task and work in collaborative teams to achieve organizational goals.
• Business and/or research acumen with a proven record of formulating value proposition.

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.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Eaton Jobs in North Carolina Jobs in Raleigh, NC Raleigh city guide North Carolina state guide Wake County economy

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Eaton. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

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How to prepare and behave

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• Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
• Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
• Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
• Be honest about gaps; say what you did to learn and how fast you can close them.
• Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
• When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
• Send a short thank-you message within a day, mentioning one thing you discussed.
• Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

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• U.S. Equal Employment Opportunity Commission: prohibited employment practices
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The city

The job is in Raleigh, NC. Below is what the official statistics say about living and working there.

How Raleigh compares. Among the 100 largest places in North Carolina, Raleigh is #2 by population, #20 for remote work (#1 = most), #22 for college degrees (#1 = most), #75 for rent (#1 = cheapest). Its county, Wake County, is #4 of 100 counties for average pay ($76,807).

The place in numbers

Raleigh has 481,031 residents (ACS 2020–2024), about 4.5% of the population of North Carolina. It covers 151 square miles of land, which works out to roughly 3,187 people per square mile. The median age is 34.7, 11% younger than the state median (34.7 against 39.1).

Housing

The median gross rent is $1,572 a month (rent plus utilities), 28% above the state median ($1,572 against $1,228). Over a year that is 22.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $415,800, which is 4.9 times the median household income ($85,395). 50.8% of households own their home, 24% below the state average (50.8% against 66.6%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Raleigh-Cary, NC metropolitan area has 743,120 jobs in the BLS wage survey, and the median pay across all occupations is $51,990 a year, about the same as the national median ($51,990 against $50,980). The biggest occupation groups are office and administrative support (79,180 jobs, median $47,310); sales and related (74,800 jobs, median $42,450); food preparation and serving related (66,380 jobs, median $30,480). The area is most specialised in computer and mathematical (1.7 times) and life, physical, and social science (1.5 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($132,650) and computer and mathematical ($107,760). In 2026M09 the unemployment rate of Wake County was 2.8%. 70.8% of residents aged 16 and over are in the labour force. The city lies in Wake County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 62.3% drive alone, 1.4% use public transit, 1.6% walk, 25.8% work from home. 9.0% of workers commute 45 minutes or more, 35% below the state average (9.0% against 13.9%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

54.0% of adults aged 25 and over hold a bachelor's degree or higher, 51% above the state share (54.0% against 35.6%). 13.8% of residents were born outside the United States, 52% above the state share (13.8% against 9.1%). The poverty rate is 11.9%, 9% below the state rate (11.9% against 13.0%).

Climate

The warmest month is Jul, averaging 80°F (26.7°C), and the coolest is Jan at 38°F (3.4°C). About 1,187 mm (47 inches) of precipitation falls in a year; Aug is the wettest month (127 mm) and Jan the driest (72 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Knightdale (9 miles, rent 6% higher); Garner (10 miles, similar rent); Cary (11 miles, rent 11% higher); Morrisville (11 miles, rent 18% higher). Rent differences are against Raleigh; use the Compare tab to put any two cities side by side.

Full guide to Raleigh →North Carolina guideAll jobs in Raleigh

Official links for Raleigh

• Official website of Raleigh: raleighnc.gov
• Census Bureau data profile for Raleigh
• Official state website: nc.gov
• BLS Economy at a Glance: North Carolina

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Where to live

The job city has no coordinates we can place on the map, so no housing comparison is shown. Use the 250 largest cities table to compare rent and income.

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

This job has no single city we can place on the map (remote, flexible or unmatched location), so no distance table is shown. Browse all Technology jobs with distances from any of the 20 largest cities.

The employer

Eaton is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Eaton

Similar jobs

Same sub-niche: Data, analytics and AI

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FAQ

What is the Lead Engineer - Engineering Digitalization & AI job at Eaton?

A senior level role in technology (data, analytics and ai) listed 65 days ago. The full description is on this page and on The Muse.

Where is this job?

Raleigh, NC.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Raleigh is $1,572 a month and median household income $85,395 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-09-04 (65 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in North Carolina.

Sources and terms

• Job data: The Muse public API (listing dated 2026-09-04). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)