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Senior Automation Engineer

  • Remote, United States

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Job details

Experience
10+ years of progressive automation experience within heavy industrial manufacturing or mining operations
Posting language
English
Posted

Original job description

Summary:

Lead high-impact industrial automation initiatives and provide expert technical guidance across the company. This leadership role blends strategic oversight for large-scale engineering projects with hands-on development and implementation of advanced automation solutions. This is a REMOTE work opportunity. No relocation will be required. The domestic travel requirement will be 25% - 40%.

Responsibilities:

  • Project Support – Collaborate with cross-functional teams to drive project development and execution. Key responsibilities include defining project scope and technical specifications, providing expert design input, and guiding projects through successful completion.
  • Capability Development – Identify and capture opportunities to leverage digital manufacturing technologies to create business value.
  • Manufacturing Operations Support – Implement operational technology (OT) systems, including standard PLC/SCADA platforms and motor controls, while ensuring the smooth adoption of modern technology solutions.
  • Data Systems Optimization – Drive the continuous development of architecture and tools for data collection, contextualization, and abstraction across manufacturing environments.
  • Industry 4.0 Leadership – Apply knowledge of modern methodologies (including IIoT, AI, and machine learning) in cross-functional teams to enable future smart factory and digital twin capabilities.
  • Control System Deployment – Assist teams in designing and deploying control systems for greenfield construction and brownfield expansion projects.
  • Network Architecture – Maintain and upgrade device-level network infrastructure, including Ethernet, DeviceNet, and ControlNet.
  • PLC Programming – Develop and maintain PLC logic using tools such as RSLogix 5000, RSLogix 500, and Connected Components Workbench.
  • SCADA Systems – Program SCADA platforms, with primary preference for Ignition, as well as Wonderware and CitectSCADA.
  • Troubleshooting Support – Diagnose and resolve complex electrical issues spanning field instrumentation, PLCs, motor controls, and medium-voltage distribution systems.
  • Equipment Lifecycle Management – Lead the specification, installation, configuration, testing, and troubleshooting of:
  • Analog instrumentation and sensors (e.g., 4–20 mA loops)
  • AC variable frequency drives (VFDs) and motor starters for 480V equipment
  • Industrial Ethernet devices and networking hardware

Requirements:

  • Bachelor’s degree (or equivalent experience) in engineering, technology, or a related technical field
  • 10+ years of progressive automation experience within heavy industrial manufacturing or mining operations
  • Experience in mineral processing, bulk solids material handling, or conveyance systems is strongly preferred
  • Strong expertise in process control, data analytics, and operational optimization tools
  • Familiarity with advanced technologies such as machine learning and system simulation software
  • Proficiency in major PLC programming and configuration environments
  • Proficiency with leading SCADA applications
  • Working knowledge of relational databases (MSSQL, MySQL)
  • Solid understanding of industrial Ethernet network setups
  • Thorough understanding of relevant electrical codes and safety standards
  • Ability to read, interpret, and review electrical schematics and control diagrams
  • Experience working with virtualized software environments
  • Proven ability to collaborate effectively with and influence stakeholders across operations, from technicians to senior management
  • Willingness and ability to travel (25–40% domestic travel required)
More about this job

Skills

  • PLC
  • SCADA
  • Leadership
  • Control systems
  • PLC programming
  • Allen-Bradley
  • Wonderware
  • Troubleshooting
  • Material handling
  • Control engineering
  • Data analysis
  • Machine learning
  • MySQL

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