Hybrid Specialist - Simulation at Lennox International

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.

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.

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.