Chemical Engineer - Direct Liquid Cooling

We are currently seeking an applicant interested in a long-term position in the Cincinnati Technology Center CTC who will be responsible for interpreting analytical data to assess fluid health, predict equipment performance, and define maintenance and remediation strategies for Data Center/Direct Liquid Cooling DLC fluid applications. An ideal candidate must have 3-5 years of experience in analytical chemistry, fluid analysis, or condition monitoring and analytical testing experience in DLC fluids.

As part of the Technical Services team, this role serves as a technical authority in fluid condition monitoring, combining deep chemistry knowledge with data-driven insights to diagnose issues, recommend actions, and make final decisions regarding fluid suitability and maintenance strategies. As a Chemical Engineer – DLC this role will also contribute to the development of predictive analytics tools, including AI-enabled diagnostics, to enhance system reliability and customer value.

Key Responsibilities
1. Fluid Diagnostics & Predictive Analysis

Analyze complex analytical data to determine fluid condition, degradation mechanisms, and system health
Identify trends and patterns to predict equipment and fluid performance/failure modes
Develop and apply condition-based monitoring methodologies for cooling systems
Translate laboratory and field data into actionable insights and risk assessments

2. Decision-Making Authority

Recommend actions based on analytical results and performance criteria
Define and recommend fluid maintenance, remediation, and replacement strategies
Support in establishing thresholds, limits, and decision frameworks for fluid health and usability by working closely with R&D Product Owner, OEM and/or end user
Provide final technical judgment on customer issues requiring expert evaluation

3. Customer-Facing Technical Support

Communicate findings through clear, data-driven reports and presentations
Provide troubleshooting support and root cause analysis for customer issues
Engage directly with customers, OEMs, and internal teams to resolve technical challenges
Translate complex analytical results into practical recommendations and actions

4. Advanced Analytics & AI Development

Support development of predictive models and trend analysis tools for fluid monitoring
Collaborate with data science and R&D teams to build AI-driven diagnostic capabilities
Define data requirements, key parameters, and diagnostic logic for automated systems
Continuously improve analytics methodologies through feedback and validation

5. Technical Leadership & Knowledge Development

Serve as an expert in DLC fluids and system performance
Maintain deep knowledge of fluid chemistry, degradation pathways, and application conditions
Contribute to development of best practices, standards, and diagnostic methodologies
Provide technical guidance and mentorship to internal stakeholders as needed

6. Cross-Functional Collaboration

Work closely with R&D, Quality, Sales, Operations and customers to resolve technical issues
Support product development by linking field performance to formulation improvements
Ensure alignment between laboratory data, field performance, and customer requirements


Qualifications
Education

Bachelor’s degree in chemistry, Chemical Engineering, or related field
Advanced degree (MSc/PhD) preferred

Experience

3–5 years in analytical chemistry, fluid analysis, or condition monitoring
Analytical testing experience in DLC fluids


Core Technical Skills

Advanced analytical data interpretation and trend analysis
Deep understanding of glycol-based and cooling fluid chemistry and performance
Experience with condition monitoring, failure diagnostics, and root cause analysis
Familiarity with LIMS, data platforms, and digital tools for analytics
Knowledge of predictive modeling, statistical analysis, or AI applications (preferred)


Competency
Technical Mastery – Applies deep scientific and application knowledge to interpret data and guide decisions
Analytical Thinking & Problem Solving – Identifies patterns, diagnoses issues, and develops predictive insights
Decision Quality – Makes sound, data-driven decisions with confidence and accountability
Communication – Clearly conveys complex technical findings to both technical and non-technical audiences
Customer Focus – Provides high-value recommendations that improve customer operations and reliability
Innovation & Continuous Improvement – Drives advancement of diagnostic methods and predictive capabilities

Scope & Impact

Acts as a technical authority in fluid condition assessment and recommendations
Directly impacts customer satisfaction, equipment reliability, and product performance
Plays a key role in transitioning the organization toward predictive and AI-driven diagnostics