Junior Thermal Research Engineer by Eaton

Job Description

Boyd Thermal by Eaton is seeking a Junior Thermal Research Engineer in our Lancaster, PA location.

Primary Function:

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.

Essential Functions:

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.

Qualifications

Basic qualifications:

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

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., SolidWorks 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.

All positions require use of information or access to hardware which is subject to the International Traffic in Arms regulations. All applicants must be U.S. Persons within the meaning of ITAR. ITAR defines a U.S. Person as a U.S. Citizen, U.S. Permanent Resident, Political Asylee, or Refugee.

Eaton will not consider applicants for employment, immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc.”

Candidate will not need sponsorship now or in the future.

No relocation benefit is offered for this position. Only candidates that currently reside within the immediate geographical area (50 miles/80 kilometers) of the {Location} facility will be considered.

Preferred:

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 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

Technical Information:

Thermal & Fluid Systems

Two-phase cooling, electronics cooling, refrigeration/HVAC systems

Heat exchanger design, boiling/condensation heat transfer

Modeling & Simulation

ANSYS (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

Experimental Methods

DOE, instrumentation, DAQ, and experimental validation

Communications

Strong communications skills to facilitate knowledge sharing

Interview Requirements and Candidate Privacy Notice

All positions may require participation in video and in-person interviews as part of the hiring process. All candidates will be evaluated based on job-related competencies, and all candidates’ privacy rights and data security will be protected in accordance with applicable laws.

All Job Posting Locations

Lancaster

Remote Type

On-Site

We are committed to ensuring equal employment opportunities for all job applicants and employees.

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.

You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.

Accommodations