204 Mechanical Process Engineer jobs in Corning,NY

Bachelors degree in Engineering or related discipline from an accredited institution
Minimum 5 years of experience in Manufacturing Engineering; including the following areas: Manufacturing Management, Total Quality Management, Planning, Statistical Process Control, Purchasing, Inventory Management and Control, Lean Manufacturing systems and tools
Minimum 3 years of leadership experience (can include projects or as a leader of people)
Must be highly proficient in the Microsoft Office suite programs and AutoCAD
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.
No relocation benefit is being offered for this position. Only candidates within a 50-mile radius of Horseheads, NY will be considered. Active-Duty Military Service member candidates are exempt from the geographical area limitation.

U.S. Navy

Corning, NY 14830

Corning

Corning, NY 14831

Bachelor's degree in mechanical engineering, materials engineering or a related field.
Minimum 1 year experience in mechanical and materials engineering position, preferably involving inorganic brittle materials.
Self-starter with the ability to work independently.
Strong hands-on technical aptitude.
Highly organized, detail-oriented, and committed to rigorous execution and accurate data collection.

TD Synnex

Corning, NY

U.S. Navy

South Corning, NY 14830

Corning

Corning, NY 14831

Master's or PhD degree in Applied Physics / Material Science and Engineering / Mechanical Engineering / Aerospace Engineering / Engineering Mechanics / Applied Mathematics or related discipline required
2-5 years' experience in Experimental mechanics, material science and engineering, and/or Numerical Simulations
Experience in designing experiments and/or characterization methods, leveraging experimental methods for mechanical understanding
Experience in probabilistic methods, Bayesian methods, optimization, and/or machine learning
Experience in material science, potentially including design and synthesis of new materials
In-depth understanding of model calibration, verification & validation, updating and prediction, sensitivity
Experimental/lab experience (designing and/or executing experiments, troubleshooting experimental setups, using modeling and experimental results to solve problems)
Strong foundation in physics and engineering science
Creative, proactive, and innovative problem solving
Self-starter, self-managed, excellent collaborator
Results oriented and high commitment / energy