Senior Controls & Automation Engineer
Company | Magna |
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Location | Troy, MI, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior, 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
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No preferred qualifications provided.