Lead Engineer/AI for Advanced Manufacturing

5 days ago

Southfield, Michigan, United States Eaton Full time
Job Title: Lead Engineer/AI for Advanced Manufacturing

Eaton's CTO Corporate Technology Office division is seeking a highly skilled Lead Engineer/AI for Advanced Manufacturing to join our team.

Job Summary:

The Lead Engineer/AI will work at the intersection of computational design, advanced manufacturing, machine/deep learning, and multidisciplinary optimization. They will serve as a technical and project lead on projects funded by both government and non-government programs in the Center for Materials and Manufacturing.

Key Responsibilities:
  • Develop and implement algorithms for sensor signal processing to extract meaningful features from raw data.
  • Design and train machine learning models for defect detection in various manufacturing processes.
  • Document technical specifications, methodologies, and results.
  • Contribute to technical papers, presentations, and intellectual property generation through authoring or co-authoring disclosures and patents.
  • Participate in brainstorming and design sessions, contributing to the technology strategy in the Center of Materials and Manufacturing team.
  • Support building business unit relationships by presenting ideas and projects, developing compelling value propositions for future programs, and support the acquisition of necessary resources and funding.
  • Develop as a subject matter expert both internally and externally to Eaton.
  • Attend and present at technical conferences, seminars, and consortium meetings in relevant industries to network with industry and university peers and stay current in their field.
Requirements:
  • MS degree in Engineering, Computer Science, Physics, Mathematics, or a related field.
  • Experience serving as a technical and project lead on programs.
  • Proven experience in sensor signal processing and Machine/Deep/Graph Learning.
  • 2+ years of experience in developing and implementing algorithms for sensor signal processing and designing and training machine learning models.
  • Proficiency in programming languages such as Python, MATLAB, or C++.
Preferred Skills:
  • PhD Degree in Engineering or Computer Science or a related field.
  • Working knowledge of manufacturing processes such as additive manufacturing and spatial-temporal process monitoring methods.
  • Familiarity with Multi-physics Process Simulation, and Multi-objective, Surrogate-based, and ML-assisted Optimization.
  • Familiarity with cloud computing platforms, IoT technologies, real-time data processing is a plus.
  • Experience with contributing to writing government research proposal.
  • Excellent problem-solving skills and attention to detail.
  • Strong oral and written communication skills and ability to work within a multi-disciplinary team.
About Eaton:

Eaton is 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 considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 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.

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.

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