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Senior Controls & Automation Engineer

Senior Controls & Automation Engineer

CompanyMagna
LocationTroy, MI, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Demonstrated expertise in PLC/HMI programming, robotic integration, and control system architecture.
  • Experience deploying collaborative robotics, AGV/AMR systems, and condition-based monitoring solutions.
  • Hands-on experience with Industry 4.0 technologies including digital twins, IoT, edge devices, and smart sensors.
  • Strong understanding of industrial communication protocols, networking, and OT cybersecurity.
  • Familiarity with data integration frameworks and industrial cloud connectivity.
  • Excellent problem-solving, leadership, and cross-functional communication skills.
  • Ability to travel as needed to support implementation and commissioning activities.
  • Bachelor’s degree in Electrical Engineering, Automation, Mechatronics, or related field.
  • 10+ years of experience in industrial automation, with 3+ years in a leadership or senior-level engineering role.

Responsibilities

  • Design, program, and commission advanced PLC, SCADA, HMI, and industrial control systems using platforms such as Rockwell, Siemens, or similar.
  • Lead deployment and integration of collaborative robots, AGVs/AMRs, and smart material handling systems.
  • Implement condition-based monitoring systems using real-time sensor data, vibration, thermal, acoustic, and other types of monitoring.
  • Lead integration of Industry 4.0 technologies including digital twins, edge computing, and smart sensor networks.
  • Provide technical leadership and vendor oversight for automation project execution, from design through commissioning.
  • Modernize legacy automation systems, industrial network upgrades, and OT cybersecurity improvements.
  • Ensure seamless data integration from automation assets to cloud platforms via OPC UA, MQTT, Sparkplug B or edge gateways.
  • Collaborate with IoT and Data Engineering teams to optimize automation data flow and support predictive analytics.
  • Serve as SME for global manufacturing teams on advanced automation practices and Industry 4.0 implementation.
  • Standardize and document automation practices to enable scale across multiple global sites.

Preferred Qualifications

    No preferred qualifications provided.