At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

 

Controls Engineer – High-Speed Automation & Manufacturing

Job Summary

We are seeking a Controls System Engineer to design, develop, and support advanced automation systems in a high-speed manufacturing environment. This role is responsible for ensuring reliable machine control, optimizing system performance, and integrating cutting-edge automation technologies to support production goals.

Key Responsibilities

High-Speed Automation & Controls

• Develop, program, and support controls systems for high-speed automated assembly equipment
• Troubleshoot PLCs, HMIs, motion control systems, and industrial networks to minimize downtime
• Support commissioning, startup, and validation of new automation equipment
• Optimize machine performance for cycle time, reliability, and quality

Material Handling Automation

• Support controls integration for automated material handling systems including robotics, AMRs, AGVs, and conveyor systems
• Develop and maintain logic for movement, storage, and retrieval of totes, pallets, and components
• Ensure seamless communication between equipment and warehouse/production control systems

Vision Systems Integration

• Configure, program, and support high-speed vision inspection systems for part quality verification
• Integrate vision systems with PLCs and production equipment
• Troubleshoot vision-related defects and improve inspection performance

Continuous Improvement & Problem Solving

• Lead and support improvements using:
  • Lean Manufacturing principles
  • Six Sigma methodologies
  • PDCA (Plan-Do-Check-Act)
  • RCA (Root Cause Analysis)
• Analyze system performance data to identify issues and implement corrective actions
• Drive reliability improvements and reduce downtime events

Cross-Functional Collaboration

• Work closely with Mechanical, Manufacturing, Quality, and Maintenance teams
• Partner with system integrators, OEMs, and suppliers for controls development and support
• Provide technical training and support to operations and maintenance personnel

Required Qualifications

• Bachelor’s degree in Electrical Engineering, Controls Engineering, or related field
• 8 years minimum experience with PLC programming (Rockwell, Siemens, or equivalent)
• Experience with HMIs, motion control, and industrial communication protocols
• Ability to troubleshoot complex automation and control systems
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities

Preferred Qualifications

• Experience supporting high-speed automation environments (300+ parts per minute preferred)
• Medical device manufacturing experience strongly preferred
• Experience with:
  • Robotics and automated material handling systems (AMR, AGV)
  • High-speed vision systems (Cognex, Keyence, etc.)
• Proficiency in Lean and Six Sigma methodologies
• Familiarity with MES systems and data integration
• Experience with safety systems and machine safety standards

Key Competencies

• Strong troubleshooting and diagnostic skills
• Continuous improvement mindset
• Ability to work in fast-paced, high-volume environments
• Hands-on, results-driven approach
• Strong collaboration and communication skills

Work Environment

• Combination of office and manufacturing floor
• Hands-on interaction with automation equipment and controls systems
• Occasional travel for equipment integration and supplier support

Reporting Structure

• Reports to: Engineering Manager
• Works closely with: Mechanical Engineering, Manufacturing, Quality, Maintenance, and Automation teams

 

 

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