Engineering Specialist, Digitalization & AI

Eaton
United States
Workplace: HybridFull timeUSD 122,000 - 179,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Problem-solving","Written communication","Verbal communication","Multi-tasking","Collaboration"]

Support AI-enabled engineering transformation by developing production-ready workflows that combine AI with engineering expertise. Create agentic AI design models, integrate AI into engineering tools for RM/DFMEA/DFSS, and develop multi-physics digital twins aligned with NVIDIA Omniverse SimReady. Build physics AI co-simulation engines and CAD-aware transformer/GNN models to enable design retrieval, completion, and regeneration. Deploy enterprise digital twins to connect design, operations, and manufacturing.

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Eaton
Eaton
5 months ago

Engineering Specialist, Digitalization & AI

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Job Summary

Support AI-enabled engineering transformation by developing production-ready workflows that combine AI with engineering expertise. Create agentic AI design models, integrate AI into engineering tools for RM/DFMEA/DFSS, and develop multi-physics digital twins aligned with NVIDIA Omniverse SimReady. Build physics AI co-simulation engines and CAD-aware transformer/GNN models to enable design retrieval, completion, and regeneration. Deploy enterprise digital twins to connect design, operations, and manufacturing.
Location: United States
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 to improve productivity and process efficiency for RM, DFMEA, DFSS, and related workflows.
  • •Develop multi-physics digital twins and drive cross-domain model integration across electromagnetics, thermal, structural, fluid, and control systems.
  • •Build physics AI co-simulation engines using PINNs plus FE solvers and surrogate inference to automate optimization loops and real-time design guidance.
  • •Build CAD-aware transformer/GNN models trained on 3D portfolio data to enable design retrieval, completion, and conditional regeneration and deploy enterprise-scale digital threads.

Pay and Benefits

Salary: USD 122,000 - 179,000 annually
Perks:Health InsurancePaid Leave

Key Requirements

  • •Master’s or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or a related field.
  • •Minimum of five (5) years developing AI/ML models, CAE workflows, or digital twin systems.
  • •Minimum of three (3) years of industry experience in aerospace, electrical systems design, or a relevant engineering discipline.
  • •Must be able to work in the United States without corporate sponsorship now and in the future.
  • •Experience building multi-physics models and digital twins is preferred.
Education:Master's in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field
Skills:Problem-solvingWritten communicationVerbal communicationMulti-taskingCollaboration
Tech Stack:AI/MLDigital twinsMulti-physicsNVIDIA Omniverse SimReadyANSYSAbaqusMATLAB SimulinkFE solversPINNsSurrogate inferenceGNNTransformerCADRMDFMEADFSS

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