What are the responsibilities and job description for the Automation R&D Engineer _AI & Smart Machines position at Reading Bakery Systems?
Automation R&D Engineer – AI & Smart Machines
Robesonia, PA | Full-Time | 25–30% Travel
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.
What You’ll Do
- 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
What We’re Looking For
- 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
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.
If you want to help build smarter machines—not just maintain yesterday’s automation—we’d like to talk.
Salary : $70,244 - $111,168