Automation Engineer

Standard Nuclear•Oak Ridge, TN

16d•Onsite

About The Position

The Automation Engineer develops, maintains, and improves software tools, data systems, dashboards, and automated workflows that support Standard Nuclear’s manufacturing operations. This role focuses on manufacturing systems, inventory and material tracking, reporting automation, data integrity, and operational visibility in a regulated environment. This is a hands-on technical role working at the intersection of software, data, manufacturing, and operations. The Automation Engineer will support systems used to track production activity, material movement, nuclear material inventory, process data, and operational performance. The role will work closely with Manufacturing, Operations, Engineering, Quality, NMCA, EH&S, and IT teams to ensure systems are reliable, secure, traceable, and useful for day-to-day decision-making. This position is focused primarily on software, data, and systems automation rather than traditional controls engineering, though familiarity with manufacturing or industrial systems is beneficial.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, Cybersecurity, Information Systems, Engineering, or a related technical field
2–6 years of experience in software development, systems automation, data engineering, manufacturing systems, IT systems support, or a related technical role
Strong programming or scripting skills, preferably in Python, SQL, or similar tools
Experience working with SQL databases, data pipelines, APIs, dashboards, and structured data
Experience building reports or dashboards using Power BI, Tableau, Grafana, Plotly, or similar platforms
Experience supporting regulated inventory, material tracking, access-controlled systems, or compliance-sensitive operational software preferred
Familiarity with data integrity, role-based access control, change control, or software quality assurance practices preferred
Ability to troubleshoot software, data, workflow, reporting, and user access issues
Comfort working with incomplete, messy, or evolving data sources in a manufacturing or operational environment
Familiarity with ERP/MRP systems, manufacturing systems, equipment data, sensor data, or industrial systems is a plus
Familiarity with machine learning, statistical modeling, or advanced analytics is a plus
Experience in manufacturing, nuclear, DOE, energy, aerospace, defense, semiconductor, chemical processing, or other technical industries is a plus

Responsibilities

Develop, maintain, and improve software tools and automated workflows that support manufacturing operations
Build scripts, integrations, and system automations to reduce manual work, improve data accuracy, and increase operational visibility
Support manufacturing systems used for production tracking, inventory management, material movement, reporting, and process monitoring
Troubleshoot system issues, workflow failures, user access problems, data discrepancies, and reporting gaps
Support deployment, maintenance, and continuous improvement of internal tools used by operations and technical teams
Maintain and improve systems used to track inventory, materials, equipment status, and operational workflows
Support systems used for nuclear material tracking, ensuring data integrity, traceability, access control, and reliable reporting
Develop automation tools that improve inventory visibility, reduce manual data entry, and support compliant material management
Partner with operations, NMCA, quality, engineering, and IT teams to ensure system changes are controlled, documented, and aligned with operational requirements
Help identify and resolve data quality issues related to material tracking, system records, and operational reporting
Build and maintain dashboards, reports, and visualization tools for manufacturing, engineering, quality, and leadership teams
Translate manufacturing and operational data into clear, actionable views of production status, inventory, yield, throughput, and process performance
Automate recurring reports and reduce spreadsheet-based or manual reporting workflows
Work with users to understand reporting needs and develop practical tools that support decision-making
Support development of metrics that improve visibility into manufacturing performance and operational constraints
Integrate data from manufacturing systems, equipment, databases, spreadsheets, ERP/MRP systems, and other operational sources
Develop and maintain data pipelines, queries, and structured datasets for analysis, reporting, and automation
Improve data reliability, accessibility, and usability across manufacturing and engineering teams
Support data architecture, naming conventions, and documentation practices for manufacturing data
Work with incomplete or evolving data sources and develop practical solutions that improve over time
Support data integrity, role-based access, change control, and documentation practices for manufacturing systems
Coordinate with IT to ensure tools and systems align with cybersecurity, access control, and company technology requirements
Develop and maintain technical documentation for scripts, workflows, dashboards, integrations, and user-facing tools
Support software quality assurance practices for internal tools and automation workflows
Ensure systems and data practices support audit readiness, traceability, and regulated manufacturing expectations
Work closely with intelligent manufacturing, operations, engineering, quality, NMCA, EH&S, supply chain, and IT teams
Gather requirements from technical and operational users and translate them into practical software and data solutions
Communicate technical issues, data limitations, system needs, and improvement opportunities clearly to non-software stakeholders
Support troubleshooting and continuous improvement of systems used in day-to-day manufacturing operations
Help build a culture of disciplined, data-driven manufacturing decision-making