- Location
- Chennai, Tamil Nadu, India
- Job type
- Full-time
Required skills
- Python
- C#
- C++
- cross-functional
- experimental test
- HVAC
- IoT
- MATLAB
About the role
Lennox India Technology Centre
Website:
lennoxindia.com
Job details:
Key Responsibilities:
- Design & Develop high-fidelity 1D,2D or 3D thermal models for components & sub-systems using in house system simulation tools or external tools like Modelica ,GT-SUITE , Amesim or Simulink.
- 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.
- Calibrate the component and sub-system models using experimental test data to minimize the model prediction errors .
- Validate simulation models against experimental or field data and refine models for accuracy and performance.
- Design & Develop modularized architecture for system simulation tool catering wide range of HVAC & refrigeration system architectures
- Document methodologies, assumptions, and results for internal and external stakeholders.
Required Qualifications:
- Master’s degree in Mechanical Engineering, Thermal Engineering or a related field.
- Minimum 4 years of experience in developing physics based HVAC component & system models in Modelica or GT-SUITE.
- Proficiency in HVAC and Refrigeration system architecture (design and simulation)
- Strong understanding of thermodynamics, heat transfer, and fluid dynamics applied to HVAC.
- Experience with system & component modeling, tuning parameter estimation, and model validation.
- Programming – Working knowledge of C++/C# and scripting languages like Python ,MATLAB for model development
- HVAC component system simulation tools – Coil designer , Vapcyc ,
- Excellent problem-solving, communication, and documentation skills.
Additional preferred skills:
- Familiarity with control systems and embedded software integration is a plus.
- Exposure to cloud-based simulation platforms or IoT integration for digital twins.
- Usage of AI tools for model development is preferred
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