Senior Controls Engineer: Diagnostics & Field Support

Capital Factory; Austin (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

ICON's Controls Engineer II in Engineering Services designs and maintains diagnostic infrastructure, builds troubleshooting tools, telemetry dashboards, and data-driven predictive maintenance models that move the fleet toward condition-based service.

This role serves as the escalation point for complex controls failures and is the technical authority others turn to when standard support cannot resolve issues.

Qualifications

• Bachelor’s degree in electrical engineering, control systems engineering or related field.
• 3+ years in industrial automation or control systems support.
• Strong knowledge of PLCs, HMIs, SCADA and control network protocols.
• Ability to diagnose hardware, software and communication issues.

Responsibilities

• Design feedback and escalation: Diagnose and resolve complex issues involving PLCs, HMIs, SCADA and industrial protocols.
• Identify and report design, reliability and maintenance problems to enable root-cause analysis.
• Provide network and integration support across control systems and enterprise interfaces.
• Deliver advanced troubleshooting when first-line support cannot resolve problems.
• Develop and deliver Field Engineering training materials and guides.
• Serve as technical liaison to customers for operation and configuration guidance.
• Ensure compliance with safety and regulatory standards and advise on best practices.
• Update knowledge management resources and share insights with global teams.
• Stay current with emerging control technologies and apply them to support practices.

Skills

PLCs

HMIs

SCADA

Industrial networks

Diagnostics tools

Customer communications

Education

Bachelor’s degree in electrical engineering or related technical discipline

Tools

TwinCAT 3

Job description

ICON's Controls Engineer II in Engineering Services designs and maintains diagnostic infrastructure, builds troubleshooting tools, telemetry dashboards, and data-driven predictive maintenance models that move the fleet toward condition-based service.

This role serves as the escalation point for complex controls failures and is the technical authority others turn to when standard support cannot resolve issues.