Staubligroup

Staubligroup

Robotics Field Application Engineer

Duncan, , United States

Sponsorship not specifiedDetected 34 days ago
PythonC++CRMCustomer SupportRoboticsControlsCommunicationCollaboration

About the role

  • Stäubli is a value driven technological solutions provider with four dedicated activities: Electrical Connectors, Fluid Connectors, Robotics and Textile.

Responsibilities

  • Field Application & Customer Support
  • Optimize performance to meet cycle time and quality targets
  • Support commissioning and validation
  • Respond to customer inquiries and support requests, ensuring clear communication and high service quality
  • Develop and modify robot programs
  • Deliver customer and partner training
  • Support training material development
  • Document activities in CRM
  • Support knowledge sharing

Requirements

  • Must be able to lift, push, pull, and carry objects
  • Must be able to lift up to 40 pounds at times
  • Willingness to travel as required both domestically and internationally (up to 75%)
  • Bachelor's or Associate degree in Engineering, Robotics, or related field

Nice to have

  • Structured text programming experience (C, C++, Python …)
  • Experience with industrial fieldbus systems
  • Multilingual (Spanish)
  • Experience working with system integrators or OEMs

Benefits

  • Implement solutions with vision, tracking, and safety systems

Company info

  • We strive for innovation and excellence and are market leaders in many industrial segments.
  • Stäubli guarantees high quality, reliability, and performance - our strong basis for the trusted partnership with our customers worldwide.
  • This role will ensure systems are fully operational, efficient, and meet customer performance expectations while acting as a key interface between customers and internal teams.
  • Provide remote technical support via phone and email to diagnose issues, guide customers, and ensure timely resolution

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