Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments.
Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles.
Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance.
Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously.
Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies.
Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms.
Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making.