Modeling Engineer: Cooling Plant Support

Job Description This role is dedicated to the development and maintenance of Python-based performance modeling tools for data center cooling systems. You will spend your time building accurate models for critical equipment—including pumps, heat exchangers, and chillers—to predict how these "Lego blocks" perform under various environmental conditions. You will collaborate closely with software and electrical teams to integrate these cooling models into larger, multidisciplinary simulation tools. A key part of your day involves automating data analysis and visualization workflows, turning complex simulation results into clear guidance for product design. You are not just a programmer; you are a mechanical expert who applies heat transfer and fluid mechanics fundamentals to ensure that simulation results are physically grounded and accurate. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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•  Bachelor's degree in Mechanical Engineering or a related technical field.
•  Strong proficiency in Python for equipment performance modeling and tool development.
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Theoretical Grounding:

Strong understanding of heat transfer, fluid mechanics, and thermodynamics.

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Data Science:

Experience with data analysis, visualization, and applied statistics/uncertainty analysis.

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Simulation Tools:

Hands-on experience with ANSYS Fluent or Cadence DC Design (6SigmaDCX).

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Hydraulic Modeling:

Experience with techniques and software such as PIPE-FLO or AFT Fathom.

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Professional Licensure:

Possession of a Professional Engineering (PE) License.

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Future-Ready Skills:

Experience or interest in CFD analysis of mechanical yards and server halls.

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Industry Experience:

Background in the operation or design of large-scale industrial cooling plants.