Control Systems Engineer

Role Purpose

This role is a senior individual contributor position with a broad technical scope, focused on applying control engineering expertise together with measurement and data integration to address recurring and systemic process challenges. The position emphasizes working beyond single-project execution. The successful candidate is expected to operate across processes or sites, combining process understanding, control fundamentals, and data-driven analysis to identify root causes and implement sustainable improvements.

Key Responsibilities

1. Cross-site Measurement and Data Enablement for Control Improvement • dentify critical measurements and data signals across processes or sites that are essential for control performance and process stability. • Work with local teams to improve measurement consistency, data quality, and accessibility, enabling meaningful cross-site comparison and analysis. • Establish practical and reusable approaches for leveraging time-series and process data in control-related problem solving, rather than one-off analyses. 
2. Control-focused, Data-driven Process Improvement • Apply control engineering fundamentals together with integrated measurement data to diagnose recurring or systemic process issues. • Translate data insights into actionable control strategies, logic enhancements, or system adjustments that can be adopted beyond a single project or site. • Validate improvements through measurable performance outcomes, such as stability, variability reduction, or operational robustness.
3. Reusable Control and Data Practices • Develop and refine reusable control and data-related practices, such as analysis methods, control patterns, or software components, that can be applied across similar processes or sites. • Balance standardization with practical flexibility, ensuring solutions remain effective in real manufacturing environments. • Support adoption of these practices by working directly with site engineers and incorporating feedback from actual usage.
4. Technical Ownership and Cross-functional Collaboration • Take technical ownership of complex or ambiguous control-related problems that span multiple systems or organizational boundaries. • Collaborate closely with process, automation, and data-focused teams to align technical solutions with operational realities. • Contribute technical judgment during improvement initiatives by helping teams assess trade-offs, risks, and long-term implications of control and data-related decisions 

Experiences/Education - Required

• Bachelor’s degree or higher in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or other related engineering fields.
• 8+ years of experience in industrial process control or automation, with demonstrated impact beyond single-project execution.
• Strong foundation in PLC-based control systems and industrial automation environments. (Mitsubishi or Allen-Bradely is a plus)
• Hands-on programming experience in Python and/or C#, applied to engineering, control, or data-related use cases.
• Solid understanding of process control fundamentals and real-world implementation.
• Experience working with industrial measurements, time-series data, and system integration.