Auto Software Engineering Lead

• Employee Type Full Time Exempt
• Required Degree 4 Year Degree
• Manage Others Yes

Description

Quanta is a Fortune Global 500 Company and a leading solution provider in cloud computing. Centered around computing design as the foundation of OUR core technology capability, Quanta continues to innovate in the area of data economics and integrate relevant resources to proactively expand market potentials and explore business opportunities.
Quanta Nashville (QMN) was established in 2003 in LaVergne, TN, with 20 employees in one building. QMN currently occupies nine (9) facilities in the Antioch/LaVergne area with over 3000 employees...and GROWING!

The Software Engineering Lead (SW Lead) is responsible for leading the development, integration, and standardization of software systems supporting automation, data collection, and smart manufacturing initiatives across the factory. This role ensures all automated processes are supported by reliable, scalable, and standardized software solutions that enable data-driven decision-making, performance visibility, and predictive improvements.

The SW Lead collaborates with Controls, Process, and Maintenance pillars to define the digital layer of the automation ecosystem developing and maintaining applications, databases, dashboards, and connectivity solutions between machines, robots, and enterprise systems.

This position also guides the Software Engineering team in creating reusable templates, maintaining version control, and ensuring cybersecurity and data integrity across all automation systems.

• Lead the design and deployment of software architectures supporting manufacturing automation, data acquisition (DAQ), and analytics systems.
• Oversee the development and maintenance of OEE dashboards, traceability systems, MES integrations, and equipment data pipelines.
• Define and enforce software coding standards, documentation practices, and version control (Git, SVN, etc.).
• Develop and maintain Python, C#, and database-based applications that interface with automation equipment (robots, PLCs, test stations, sensors, vision systems).
• Collaborate with Controls Engineers to integrate machine data into central databases, ensuring seamless connectivity through OPC UA, MQTT, and REST APIs.
• Partner with Process Engineering to define KPIs and metrics to be visualized in Power BI or web dashboards.
• Manage and prioritize software-related requests from production, ensuring quick resolution while maintaining long-term scalability.
• Establish data governance standards, backup systems, and network architecture for automated systems.
• Train and mentor engineers and technicians on the use of developed software tools and data visualization systems.
• Drive continuous improvement through data analysis and automation of repetitive tasks (reporting, data entry, and analytics).
• Lead validation and qualification of software used in automated production lines.
• Support global and local initiatives to align with Industry 4.0 and smart factory standards.

• Bachelor’s degree in computer science, Software Engineering, Automation Engineering, or related field.
• Minimum of 3 - 5 years of software development experience in manufacturing, automation, or industrial environments.

• Experience with data visualization tools such as Power BI, Grafana, or equivalent.
• Understanding of machine communication protocols (OPC UA, Modbus, TCP/IP, MQTT).
• Experience with version control systems (Git, Git Hub, Git Lab) and agile development environments.
• Knowledge of cloud platforms (Azure, AWS, or GCP)…