Engineering Specialist, Electrical Controls, Ford at BlueOval City at Ford Global Career Site
Stanton, Tennessee, United States -
Full Time


Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Electrical Controls, PLC Logic, Automation, Lean Manufacturing, Six Sigma, Project Management, Networking Protocols, HMI, VFD, AutoCAD, Data Collection, AI/ML, IIOT, Digital Twin, Robotics, Manufacturing Engineering, Software Development

Industry

Motor Vehicle Manufacturing

Description
build and lead an agile team to deliver the advanced technology that drives the future Ensure adherence and compliance to the Ford Production System (FPS) Key Unifying Processes (KUP) Understand and consistently apply standard manufacturing operating systems and principles. Enforce compliance with Safety Operating System practices to achieve zero injuries. Ensure compliance with Quality Operating System practices to achieve zero defects. Use Andon data to prioritize efforts to achieve 100% flow. Identify Controls Best Practice; launch Enablers, Training, and Change Control, etc. Liaison with IT on IT / Controls interface issues Drawing approvals and updates, Hydraulic, Pneumatic, Electrical Monitor use of Structured software specification, organize training for OEM's where required. Issue resolution during machine build and Installation. Troubleshoot and resolve production-related downtime (i.e. PLC programs, HMI Screens, etc.) Setup and maintenance of industrial bar code scanners and printers Run-off equipment per Ford specifications at supplier and plant to validate capability and robustness including safety. Ensure production systems meet objectives through R&M, Process Design and FMEAs Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation. Capability to use software to solve manufacturing problems that users are facing. Ensure the identification and capture of lessons learned along with their application to new programs, as well as the impact to existing strategies and standards. Troubleshoot PLC, robot, and other automation problems. Update program backups for automation Program new installations of vision, fastening, dispense, leak test, electrical test, gantry and conveyor systems. Reprogram automation for engineering changes and improvements. Established and active employee resource groups Engineering Degree Fundament working knowledge of PLC logic and controls Electrical Background (Electrician or technician) Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building and communication skills. 2+ years' project management and organizational experience 2+ years' experience with manufacturing (Plant, BME, etc) 2+ years' networking and communication protocols experience 2+ years' Experience with PLC (Siemens/Allen-Bradley), HMI, VFD, Profinet, AutoCAD, C and RSLOGIX software and systems. Bachelor's Degree in Engineering 2 or more years Controls Engineering experience Prior experience in Fanuc robots, ABB robots and Universal robots Atlas Copco fastening systems. Knowledge of Mfg. 4.0 (Industry 4.0) key principles - Data Collection, AI/ML, IIOT, Digital Twin Ability to understand networking and controls architectures. Understanding of Industrial Engineering concepts (constraint analysis, productivity analysis) Lean Manufacturing and Six Sigma Experience Extensive knowledge of BME IT standard footprint applications such as FIS, QLSM, QWX, GPTS, QDAS, OBL, PDS etc. Knowledge of data structures and algorithms In-depth knowledge of a packaged application, and familiarity with domain knowledge Familiar with Google Cloud Platform and Application development Bonus if you have background in SIEMENS Cloud / AI application technology.
Responsibilities
Build and lead an agile team to deliver advanced technology while ensuring compliance with safety and quality operating systems. Troubleshoot and resolve production-related downtime and monitor the use of structured software specifications.
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