Automation Engineer – MHE & PLC Controls

Amazon Inc.; Tracy (CA); On-site; USD 90,000 - 113,000; Full time

Benefits offered by this job

Health insurance

401(k)

Parental leave

Job summary

Amazon in Tracy, CA is seeking an Automation Engineer to maximize equipment reliability and operational performance in fulfillment centers, providing proactive controls automation and technical support for conveyors, sortation systems, scanners, cameras, and SCADA devices.

You will troubleshoot complex control systems, analyze performance metrics, and drive continuous improvement with cross-functional teams to optimize MHE and implement innovative projects.

Qualifications

• Bachelor's degree in CS/EE/Automation or equivalent, or 2+ years of PLC/automation experience.
• Flexible schedule including weekends, nights, and/or holidays.
• Experience with PLC-controlled automation and issue diagnosis in process/production environments.
• Robotics work cells and control systems experience.
• Electrical theory and automated equipment experience.
• Ladder Logic in Siemens, Allen-Bradley, or Codesys PLCs.

Responsibilities

• Maintain automation systems critical for operations.
• Troubleshoot MHE control systems and industrial networks (Ethernet, ControlNet, DeviceNet, Profibus).
• Monitor MHE metrics and analyze performance with maintenance/ops teams.
• Provide first-level escalation support for site technicians.
• Conduct building System Assessments to improve MHE performance.

Skills

PLC programming

Automation

Robotics

Electrical theory

Ladder Logic

System diagnostics

Education

Bachelor's degree in CS/EE/Automation or related

2+ years PLC/automation experience

Tools

RSLogix5000

Studio 5000

FT View

Job description

Amazon in Tracy, CA is seeking an Automation Engineer to maximize equipment reliability and operational performance in fulfillment centers, providing proactive controls automation and technical support for conveyors, sortation systems, scanners, cameras, and SCADA devices.

You will troubleshoot complex control systems, analyze performance metrics, and drive continuous improvement with cross-functional teams to optimize MHE and implement innovative projects.