Jobs · Engineering · Pennsylvania

Automation R&D Engineer – AI & Smart Machines

Reading Bakery Systems · Robesonia, PA · 2 wk ago
On-siteEngineeringFull-time

About the role

Reading Bakery Systems is looking for an Automation R&D Engineer to help develop the next generation of intelligent industrial equipment. This is a hands-on engineering role for someone who loves automation, controls, troubleshooting, R&D, and emerging technology. You’ll work with real production equipment to develop smarter machines using AI, machine vision, sensors, machine data, predictive maintenance, and advanced automation.

Responsibilities

  • Develop and test new automation and smart-machine technologies
  • Create smarter diagnostics, condition monitoring, operator guidance, and predictive-maintenance solutions
  • Explore practical uses for AI, machine learning, machine vision, and data analytics
  • Work hands-on with PLCs, HMIs, drives, sensors, instrumentation, and industrial equipment
  • Support prototypes, testing, commissioning, troubleshooting, and customer startups
  • Turn recurring field problems into better controls, diagnostics, and machine designs
  • Help define future RBS standards for Industrial IoT (IIoT), machine connectivity, data collection, OPC UA, MQTT, edge devices, and intelligent equipment

Requirements

  • BS in Electrical Engineering, Controls, Automation, Mechatronics, or related field
  • Strong industrial controls and machine-troubleshooting experience
  • PLC experience with Rockwell / Allen-Bradley and/or Siemens
  • Experience commissioning or improving industrial machinery
  • Curious, hands-on engineer who enjoys taking ideas from concept to prototype to production

Skills

Bonus experience: Python, machine vision, AI/ML, predictive maintenance, condition monitoring, Industrial IoT (IIoT), OPC UA, MQTT, edge computing, robotics, motion control, or OEM equipment.

You don’t need to be an AI scientist. We want a strong automation engineer who is excited about using new technology to solve real manufacturing problems.

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