Job Description

Company Profile:

Lennox (NYSE: LII)

Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member's contributions and offers a supportive environment for career development. Come, stay, and grow with us.
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This engineer designs, fabricates, modifies and evaluates complex mechanical and electro-mechanical
components, sub-systems and systems. The person in this position may also provide work leadership for lower level employees.

Duties include, but are not limited to:Develop high-fidelity digital twin models of refrigeration systems using Modelica and GT-SUITE. Simulate and analyze thermal, fluid, and control system behaviors under various operating conditions. Collaborate with cross-functional teams including mechanical, controls, and software engineers to integrate simulation models into product development workflows. Validate simulation models against experimental or field data and refine models for accuracy and performance. Support system-level optimization, scaling models, diagnostics, and predictive maintenance strategies using digital twin insights. Document methodologies, assumptions, and results for internal and external stakeholders.

Qualifications:

Requires a bachelor's degree in engineering. Requires at least 5 years related experience.

Bachelor's or Master's degree in Mechanical Engineering, Thermal Engineering or a related field. Minimum

7 years of experience Modelica-based tools

(e.g., Dymola, OpenModelica) or

GT-SUITE

. Proficiency in

Refrigeration or HVAC systems

(design and simulation) Strong understanding of thermodynamics, heat transfer, and fluid dynamics. Experience with system modeling, parameter estimation, and model validation. Familiarity with control systems and embedded software integration is a plus. Excellent problem-solving, communication, and documentation skills.

Additional preferred skills:

Knowledge of scripting languages (e.g., Python, MATLAB) for automation and data analysis. * Exposure to cloud-based simulation platforms or IoT integration for digital twins.