# Controls Engineer

**Company**: Ford Motor Company
**Location**: Dearborn, MI
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Salary**: $72,480-$162,120
**Category**: Engineering
**Industry**: Automotive
**Wikidata**: https://www.wikidata.org/wiki/Q44294

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/71150?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2e0aea82-566

## Description

As part of Ford's Manufacturing team, you'll help build state-of-the-art smart vehicles. In this role as a Controls Engineer, you'll lead problem solving to assist plants and implementation teams in resolving tooling, equipment, and conveyor performance issues and downtime.

Responsibilities:

- Lead problem solving to assist plants and implementation teams in resolving tooling, equipment, and conveyor performance issues and downtime

- Coordinate resources to find root cause and fixes, manage and breakdown problems into items that can be validated

- Handle setup and maintenance of industrial bar code printers

- Design and implement vision control systems, familiar with different types of vision cameras and their programming software

- Utilize FIS plant monitoring software to review cycle times of equipment, review and follow up project installations

- Reprogram equipment for engineering changes and improvements

- Update program backups for machinery and automation

- Program new installations of automation, machinery, material handling, and robots

- Review risk assessments and evaluate equipment safety as part of a team

- Assist in training manufacturing personnel and plant electricians

- Read and modify electrical prints and schematics, Auto CAD

- Maintain familiarity with OA, CPN/MPN networks and communication protocols for connecting to wireless and wired networks

- Manage installation and maintenance of virus protection software for controls network PCs

- Work overtime and weekends as needed

Qualifications:

- High School Diploma / GED

- 2 or more years of Controls Engineering experience

- Ability to work off-shift, weekends, and overtime

Preferred qualifications:

- Bachelor's Degree in Electrical, Mechanical, Controls or Automation Engineering or equivalent

- Electrical background (electrician or technician) preferred

- Familiar with PLC/CNC (Siemens/ Allen-Bradley), VFD, Servo, Profinet, ABB, TWINCAT, STEP 7, 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

- Experience with conveyor system programming and overhead Gantry

- 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

Benefits:

- Immediate medical, dental, and prescription drug coverage

- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more

- Vehicle discount program for employees and family members, and management leases

- Tuition assistance

- Established and active employee resource groups

- Paid time off for individual and team community service

- A generous schedule of paid holidays, including the week between Christmas and New Year's Day

- Paid time off and the option to purchase additional vacation time

## Skills

### Required
- Controls Engineering
- Electrical
- Mechanical
- Automation
- PLC/CNC
- Vision control systems
- FIS plant monitoring software
- Auto CAD

### Nice to have
- Bachelor's Degree in Electrical, Mechanical, Controls or Automation Engineering
- Electrical background
- Lean Manufacturing
- Six Sigma
- Simulation modeling
- Visual factory management

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