Smiths Group

Smiths Group

Diagnostics Engineer or Technical Specialist - North America (Hybrid)

Pasadena, TX, United States

Sponsorship not specifiedDetected 20 hours ago
Data AnalysisBusiness DevelopmentCustomer SupportPLCLeadership

About the role

  • We have a global network of more than 200 sites in over 50 countries and employ more than 6,000 people worldwide.
  • All your information will be kept confidential according to EEO guidelines. #ZR We believe that different perspectives and backgrounds are what make a company flourish.

Responsibilities

  • In alignment with the business strategy and with the Regional Contract Service Delivery Manager, develop and deliver plans to expand condition monitoring services.
  • Implement Asset Condition Management services.
  • Lead development of analysis databases and reporting systems (Vibration, Lubrication and others).
  • Provide service and support for Indufil product line.

Requirements

  • Candidates must have the ability to travel up top 40% of the time within the US, Canada and Caribbean regions.
  • Ability to get a TWIC card.
  • High school diploma or equivalent required.
  • Engineering degree preferred or equivalent experience.
  • Vibration Analysis ISO 18436-2 Category 2, or equivalent certification required.

Nice to have

  • Vibration Analysis ISO 18436-2 Category 3 a big plus.
  • Specialist skills in Lubrication Analysis ISO 18436-4 Category 2, or equivalent and CMRP / ARPE preferred.
  • Experience working in a diverse environment with a global company is a plus.

Skills

  • Our products include mechanical seals and systems, couplings, bearings, filtration systems, and predictive digital monitoring technologies.

Benefits

  • Consulting with customer on their reliability vision, strategy, & roadmap; creating plans to fulfil them by: Implementation of new services and Enhancements to existing programs.

Company info

  • Vibration data analysis for John Crane Sense Monitor customers.

This listing is sourced directly from Smiths Group's careers page and normalized into a canonical job model.