Systems Engineer

Georgia-Pacific - Pineland, TX

Full-time - Mid Level

Pineland, TX

251-500 employees

Wood Product Manufacturing

About the position

The Systems Engineer position at Georgia-Pacific's Building Products Division in Pineland, Texas, involves designing, deploying, and optimizing automation systems at the sawmill facility. This role is crucial for transforming business operations and fostering relationships with site personnel to ensure the sustainability of the deployed systems. The position requires hands-on engineering experience and offers the opportunity to work in a dynamic 24/7 operational environment.

Responsibilities

• Develop deep learning/machine vision models for automation applications.
• Review and optimize existing deep learning/machine vision models based on end user and division capability feedback.
• Develop and modify PLCs, Robots, HMIs, and computer vision programs to achieve project requirements.
• Trial new technologies to solve complex automation problems.
• Train personnel on the proper method and process for performing preventive or corrective maintenance on automation systems and components.
• Monitor automation health at assigned sites via diagnostics and analysis, and coordinate with site representatives to address any changes to automation system health.
• Provide technical expertise in process automation and transfer that knowledge to others.
• Create and maintain documentation related to automation systems, including specifications, manuals, and standard operating procedures.

Requirements

• Two or more years of hands-on engineering experience within a manufacturing operation or commensurate industry experience.
• Ability to effectively work and communicate with subject matter experts and facility resources in Automation and Digital Process Optimization, Electrical and Process Controls Capabilities, Maintenance and Operations.
• Proficiency in script-based programming in a production or commercialized environment (C, C++, etc.).
• Advanced understanding of automation components (PLCs, PLC Programming, motor drives, etc.) and how they work together for system automation.
• Computer Vision application experience.
• Experience working with machine vision cameras and profilers in manufacturing facilities.

Nice-to-haves

• Five or more years of hands-on engineering experience in a manufacturing environment.