Boyd Thermal Eaton Junior Thermal Research Engineer

Position: Boyd Thermal by Eaton Junior Thermal Research Engineer
Job Description The Junior Thermal Research Engineer is responsible for supporting the design, modeling, and experimental validation of advanced thermal management systems for next-generation electronics cooling applications in data center, semiconductor test and aerospace and defense applications.

This role emphasizes thermal-fluid system modeling, data-driven engineering, and product development to accelerate design, optimization, and system-level performance prediction.

Job Description:

General Responsibilities:

The Junior Thermal Research Engineer will work within a multidisciplinary engineering team to develop innovative thermal management and test solutions for high-performance electronics and data center systems.

The role combines thermal system design, modeling, experimentation, and data science techniques, with a focus on enabling faster design cycles and improved system-level insight.

Primary Responsibilities:

Support the design and development of thermal management systems, including liquid cooling, two-phase cooling, and heat exchanger-based architectures

Cooling system design including cold plates, cooling distribution units (CDUs) and passive two-phase solutions (heat pipes and vapor chambers)
Develop and apply thermal-fluid modeling tools (steady-state and transient) for system-level performance prediction, including pressure drop, heat transfer, and coolant distribution

Implement and use machine learning, AI and data-driven methods

Support data center cooling system modeling, including rack-level and component-level thermal architecture analysis

Conduct design of experiments (DOE) and support experimental testing, including instrumentation, data acquisition, and validation of models

Create and maintain CAD models and engineering documentation (e.g., Solid Works designs, P&IDs, drawings, and test plans)
Assist in development of computational tools and simulation frameworks (Python, MATLAB) to support engineering decision-making and research activities

Support prototype development and testbed construction, including integration of thermal systems and measurement capabilities

Collaborate with senior engineers and researchers to:

Evaluate new cooling technologies

Improve system efficiency and performance

Identify key design tradeoffs

Contribute to technical documentation, reports, and presentations of results

Additional Responsibilities:

Support component and material selection for thermal systems (heat exchangers, sensors, cooling loops)
Assist in manufacturing and assembly support, including prototype builds and testing

Understand and evaluate trade-offs between cost, performance, and scalability

Participate in cross-functional collaboration with mechanical, electrical, and controls engineers

Experience /

Qualifications:

Master’s or PhD degree in Mechanical Engineering or related field

Focus or coursework in heat transfer, fluid dynamics, or thermal systems required

Laboratory experience

Graduate research experience in thermal-fluid sciences or cooling technologies strongly preferred

Technical

Skills:

Thermal & Fluid Systems Two-phase cooling, electronics cooling, refrigeration/HVAC systems

Heat exchanger design, boiling/condensation heat transfer

Modeling & SimulationANSYS (Fluent, Icepak, Mechanical) or similar CFD tools

System-level thermal-fluid modeling

Data Science & Optimization Machine learning surrogate modeling

Data-driven engineering approaches

Programming

Python and/or MATLAB for modeling, simulation, and data analysis

LabVIEWExperimental MethodsDOE, instrumentation, DAQ, and experimental validation

Communications

Strong communications skills to facilitate knowledge sharing

Preferred Experience:

Exposure to data center cooling or high-performance electronics thermal management

Experience developing reduced-order or surrogate models for thermal systems

Familiarity with optimization-driven design workflows

Experience integrating modeling and experimental validation
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