Manufacturing Systems Engineer (OT)

Shaw•Cartersville, GA

About The Position

Shaw Industries is seeking a Manufacturing Systems / Operational Technology (OT) Automation Engineer to develop and scale software and data solutions that connect our production floor to actionable insights across our Commercial manufacturing division. This role focuses on industrial automation, manufacturing data, and OT system integration, supporting multiple plants and enabling operational excellence at scale. The ideal candidate has a strong background in manufacturing automation and industrial systems—including PLCs, SCADA, and industrial networking—along with experience building manufacturing applications using platforms such as Ignition. This is not an IT or consumer software role; it is a hands-on manufacturing systems position centered on machinery, process data, and production environments. This role will work closely with automation engineers and plant teams to deliver standardized tools, alerts, dashboards, and integrations that improve quality, reliability, and efficiency across Shaw’s manufacturing operations.

Requirements

Bachelor’s degree in software engineering or related field. Other engineering degrees may be considered with relevant experience.
Proficient in one or more programming languages commonly used in automation and data systems
Proficient in designing, querying, and maintaining databases.
Experience with enterprise-level data platforms and visualization tools.
Working knowledge of industrial equipment and data acquisition systems.
Strong problem-solving and analytical skills.
Excellent communication and project management abilities.
On-call, weekend, and holiday support as needed.
Some travel is required across the division.

Nice To Haves

3–5 years of experience in manufacturing automation.
Knowledge of control systems, PLCs, and industrial networking.
Experience with Ignition by Inductive Automation.
Experience with APIs (e.g., web service calls, MQTT).
Experience with Rockwell Software (e.g., RSLogix 500, Studio 5000).
Experience with Siemens Software (e.g., TIA Portal).
Exposure to AI technologies in manufacturing, such as platforms like Databricks or similar, used to analyze process data, build predictive models, detect anomalies, or optimize performance.

Responsibilities

Ensure seamless integration of software with existing OT/IT infrastructure.
Develop software that adheres to established best practices and standards, including thorough documentation and meaningful code comments.
Contribute to the development and refinement of best practices and standards for software and automation systems — a strong plus.
Collaborate with cross-functional teams to understand equipment and automation systems.
Train manufacturing and technical teams on the use of developed systems and tools, and support knowledge-sharing around emerging process control technologies.
Support hardware automation initiatives as needed.
Manage and budget capital projects related to automation and data systems.
Collaborate with plant leadership to identify opportunities.