Controls Engineering Specialist (ktp)

Ford Ford · Auto · Louisville, KY +1 · Manufacturing

Controls Engineering Specialist role focused on problem-solving, implementation, and maintenance of industrial automation, machinery, robots, and vision control systems within manufacturing plants. Responsibilities include root cause analysis, reprogramming equipment, managing backups, and ensuring equipment safety.

What you'd actually do

  1. Lead problem solving to assist plants and implementation teams in resolving tooling, equipment and conveyor performance issues and downtime.
  2. Coordinate resources to find root cause and fixes, manage and breakdown problems into items that can be validated. Determine proper validation methods
  3. Utilize sound knowledge design and implement vision control systems. Familiar with different type of vision cameras and their programing software. Continuously evaluate equipment for improvement for quality and delivery
  4. Program new installations of automation, machinery, material handling, and robots
  5. As part of a team, review risk assessments and evaluate equipment safety

Skills

Required

  • High school diploma or GED
  • 2 or more years of Controls Engineering experience

Nice to have

  • Bachelors Degree
  • Electrical background (electrician or technician) preferred
  • Familiar with PLC/CNC (Siemens/ Allen-Bradley), VFD, Servo, Profinet, ABB and FANUC Robots
  • Solid understanding of laser burning
  • Demonstrated ability to read blueprints, modify electrical schematics and use AutoCAD
  • Validated ability to troubleshoot equipment and continuously evaluate for process improvements
  • Solid understanding of networking to include DH+, Ethernet and remote IO
  • Lean Manufacturing and Six Sigma experience
  • Lean Tools – 5S, Kanban, Poka-Yoke, Value Stream Mapping experience
  • Understanding of 8D, FMEA, and DMAIC processes
  • Familiar with TQM and Kaizen methods
  • One or more years of experience with MS Office (Word/Excel/PowerPoint/Outlook)
  • Knowledge of simulation modeling and visual factory management preferred

What the JD emphasized

  • vision control systems
  • robots