Controls Engineer (PLC)

Job Title: Programmable Logic Controller (PLC)

Location: Reno, Nevada, USA

Role Overview

We are seeking a skilled PLC/Automation Engineer with experience integrating advanced AI solutions such as ChatGPT into industrial automation systems. The ideal candidate will support manufacturing and smart systems by developing, programming, and maintaining PLC logic while leveraging generative AI tools to improve automation processes.

Key Responsibilities

PLC Development & Support

• Design, program, test, and debug PLC logic for automated systems (Allen-Bradley, Siemens, etc.).
• Maintain and improve ladder logic (LD), structured text (ST), and function block diagrams (FBD).
• Troubleshoot and resolve PLC hardware and software issues on site in Reno.

AI Integration

• Integrate AI assistants (e.g., ChatGPT APIs) into HMI/SCADA systems for enhanced diagnostics and operator support.
• Work with cross-functional teams to design workflows where AI reduces downtime and improves performance.

Documentation & Compliance

• Produce technical documentation of PLC system logic, AI modules, and integration interfaces.
• Ensure all systems meet safety and regulatory compliance standards.

Testing & Deployment

• Conduct system tests in simulated and live environments.
• Deploy updates and improvements to existing automation systems.

Qualifications

Required

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field.
• 3+ years’ experience with PLC programming (Allen-Bradley, Siemens, etc.).
• Familiarity with industrial communications (EtherNet/IP, Modbus, ProfiNet).
• Strong troubleshooting skills and ability to work on the plant floor.

Preferred

• Exposure to AI platforms and APIs (e.g., OpenAI’s ChatGPT).
• Experience automating analytics or user support via conversational AI.
• Knowledge of industrial cybersecurity standards.

Skills & Technologies

• PLC languages: Ladder Logic, Structured Text, Function Block Diagram.
• Tools: RSLogix/Studio 5000, TIA Portal, FactoryTalk/WinCC, Ignition.
• AI integration (REST APIs, Python or JavaScript scripting).
• Networking (Ethernet, TCP/IP), version control (Git).