Lead Engineer - Engineering Digitalization & AI

Eaton
Houston, Raleigh
Workplace: HybridFull timeUSD 105,000 - 154,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Communication","Collaboration","Multi-tasking","Value proposition"]

Lead AI-enabled engineering transformation initiatives within Eaton’s CTO Corporate Technology Office. You’ll architect and industrialize production-ready workflows across requirements, architecture, design, simulation, test, and manufacturing—using agentic AI design models, multi-physics digital twins, and physics-aware AI co-simulation engines. Work with global engineering groups to integrate AI into engineering tools and deploy enterprise-scale digital threads supporting future Eaton products and platforms.

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Eaton
Eaton
4 days ago

Lead Engineer - Engineering Digitalization & AI

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Job Summary

Lead AI-enabled engineering transformation initiatives within Eaton’s CTO Corporate Technology Office. You’ll architect and industrialize production-ready workflows across requirements, architecture, design, simulation, test, and manufacturing—using agentic AI design models, multi-physics digital twins, and physics-aware AI co-simulation engines. Work with global engineering groups to integrate AI into engineering tools and deploy enterprise-scale digital threads supporting future Eaton products and platforms.
Location: Houston, Raleigh
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Create agentic AI design models for end-to-end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration.
  • •Integrate AI into traditional engineering tools (e.g., RM, DFMEA, DFSS) to improve productivity and process efficiency.
  • •Develop multi-physics digital twins and drive cross-domain model integration for electromagnetics, thermal, structural, fluid, and control systems aligned with NVIDIA Omniverse SimReady initiatives.
  • •Build physics AI co-simulation engines combining PINNs, FE solvers, and surrogate inference to automate geometric optimization loops and real-time design guidance.
  • •Deploy enterprise-scale digital twins for design, operations, and manufacturing using connected digital threads.

Pay and Benefits

Salary: USD 105,000 - 154,000 annually
Perks:Health InsuranceRetirement SavingsWellness StipendFlexible WorkLearning Budget

Key Requirements

  • •Master’s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or a related field.
  • •3+ years developing AI/ML models, CAE workflows, or digital twin systems.
  • •2+ years industry experience in aerospace, electrical systems design, or a relevant engineering discipline.
  • •Extensive knowledge of computing and artificial intelligence, including AI agent development.
  • •Must be able to work in the United States without corporate sponsorship now and in the future.
Education:Master's
Skills:Problem-solvingCommunicationCollaborationMulti-taskingValue proposition
Tech Stack:AI/MLAgentic AIDigital twinsMulti-physicsNVIDIA Omniverse SimReadyPINNsFE solversSurrogate inferenceTransformerGNNCADRMDFMEADFSSANSYSAbaqusMATLABSimulink

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Eaton
Designs, manufactures, and distributes electrical components, power management systems, and industrial equipment for energy, aerospace, vehicle, and industrial markets worldwide, focusing on efficiency, safety, and sustainability.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dublin, Ireland
Founded: 1911
WebsiteLinkedIn