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Chemical Engineer - Direct Liquid Cooling

Job in Danbury, Fairfield County, Connecticut, 06813, USA
Listing for: Performance Fluid Experts Group
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Systems Engineer, Data Engineering, AI Engineer (Applied/Software)
  • Engineering
    Systems Engineer, Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below

Job Title

Chemical Engineer
- Direct Liquid Cooling

Location
:
Kost USA, 1000 Tennessee Avenue, Cincinnati, Ohio, United States of America;
Prestone
- Danbury, 69 Eagle Rd, Connecticut, United States of America

Overview

We engineer leading fluid solutions for automotive, industrial, and data center cooling applications. The роли focuses on interpreting analytical data to assess fluid health, predict equipment performance, and define maintenance strategies for Data Center/Direct Liquid Cooling (DLC) fluid applications. Candidates should have 3–5 years of experience in analytical chemistry, fluid analysis, or condition monitoring and analytical testing in DLC fluids.

Key Responsibilities
  • Analyze complex analytical data to determine fluid condition, degradation mechanisms, and system health.
  • Identify trends to predict equipment and fluid performance and failure modes.
  • Develop and apply condition-based monitoring methodologies for cooling systems.
  • Translate laboratory and field data into actionable insights and risk assessments.
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 with R&D Product Owner, OEM and/or end user.
  • Provide final technical judgment on customer issues requiring expert evaluation.
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.
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.
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.
Cross-Functional Collaboration
  • Work 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…
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