Manufacturing Engineer - Vision Systems, BlueOval Battery Park Michigan

Manufacturing Engineer - Vision Systems, Blue Oval Battery Park Michigan

Marshall, MI, United States (On-site)

At Blue Oval Battery Park Michigan, you will:

• use your entrepreneurial skills and team mindset to come up with data-driven solutions
• build and lead an agile team to deliver the advanced technology that drives the future
• create a culture of trust, encourage diversity of thought and foster leadership in others
• be part of the historic transformation of the automotive industry

• 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 and implement 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, installation, and steady state production
• 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 Process Design and FMEAs
• Work with plant and Manufacturing Engineering personnel with appropriate timing and installation documentation, to ensure efficient/timely installation and validation
• 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
• Candidates must possess full flexibility and a readiness to consistently work across all established standard, operating, and rotational shift schedules, encompassing day, night, weekend, and holiday shifts
• Engineering Degree or equivalent combination of relevant education and experience
• Fundamental Working Knowledge of Industrial Electronics, PLC Logic, and Controls
• Ability to demonstrate leadership behaviors combined with outstanding interpersonal, team building, leadership, and communication skills
• Capability to learn, use, and troubleshoot new software and hardware systems to solve manufacturing problems that users are facing
• 2+ years’ experience with manufacturing
• 2+ years' networking and communication protocols experience
• 2+ years Prior experience in with industrial vision systems:
• 2D & 3D Vision systems for robot guidance, metrology, identification
• Fanuc 3D Vision, Map Vision, and/or AI Vision systems
• 2+ years’ Experience with PLC (Siemens/Allen-Bradley), HMI, VFD, Profinet, AutoCAD, C and RSLOGIX software and systems

Even better, you may have...

• Masters Degree in Engineering
• 4 or more years Controls Engineering experience
• 4 or more years of prior experience with advanced vision systems in an automated manufacturing facility
• Prior experience in with Fanuc robots, ABB robots and Universal robots
• 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

You may not check every box, or your experience may look a little different from what we've outlined, but…