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Senior Engineer, Systems and Control Engineering

entegris · San Luis Obispo, CA · United States · On-site

Pay: USD 120,000 – 130,000 a year

Posted Oct 8, 2026

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Job Title: Senior Engineer, Systems and Control Engineering Job Description: The Role:   Our site in San Luis Obispo is seeking a Senior Control Systems Engineer to join our team. The Senior Control Systems Engineer is responsible for architecting, developing, and deploying advanced control systems, connected equipment platforms, and data-driven automation solutions for critical manufacturing and purification processes. The engineer will lead projects from concept through lifecycle support while leveraging digital technologies, industrial AI, simulation, and automation best practices to improve equipment reliability, process performance, operational efficiency, and customer value.  What You’ll Do:   Controls System Design & Digital Architecture   Design and develop PLC, HMI, SCADA, and edge-computing solutions for advanced industrial automation.  Architect connected control systems that enable secure data collection, analytics, and AI-driven decision making.  Design new equipment and process automation platforms from concept through deployment using model-based and systems engineering approaches.  Create electrical schematics, control panel layouts, network architecture, and system documentation using CAD and engineering tools.  Develop reusable software frameworks, standards, and modular automation architectures to accelerate future product development.  Support digital twin initiatives by defining control system interfaces, process models, and simulation strategies.  Intelligent Automation & System Integration   Develop, test, and troubleshoot PLC applications using Rockwell, Schneider, or equivalent industrial control platforms.  Integrate sensors, instrumentation, analyzers, vision systems, robotics, and smart devices into automated production systems.  Implement connectivity solutions using industrial protocols and modern data architectures to support AI and analytics initiatives.  Collaborate with software, data, and product teams to enable predictive maintenance, process monitoring, and operational intelligence capabilities.  Support field service and customer-facing teams with commissioning, troubleshooting, and continuous improvement activities.  Leverage AI-assisted engineering tools to improve productivity, code quality, troubleshooting effectiveness, and knowledge capture.  Digital Twins & Virtual Commissioning   Industrial Data Architecture & AI Readiness   AI-Assisted Engineering and Knowledge Capture   Autonomous Process Optimization  Data, Analytics & AI Enablement   Identify opportunities to utilize operational data for process optimization, predictive maintenance, anomaly detection, and reliability improvement in an OEM environment.  Develop strategies for collecting, contextualizing, and managing equipment and process data for enterprise analytics platforms.  Collaborate with digital transformation, software, and data science teams on AI-enabled solutions that improve…