MDB Engineer

Key Responsibilities:  Develop and maintain accurate refrigerant component/system models, ensuring alignment with product requirements.  Participate in the full lifecycle of refrigerant component calculation development in C# or Python, including specification, design, implementation, unit testing, accuracy assurance, integration with .NET APIs, and maintenance.  Design, develop, and validate complex thermal models for refrigerant components, such as heat exchangers, chillers, compressors, condensers, evaporators, and expansion valves.  Apply Model-Based Design (MBD) methodologies to develop, implement, and verify real-time control systems for refrigeration systems and refrigerated display cabinets.  Interpret simulation results to extract insights and inform design decisions.  Collaborate with Product Owners and technical teams to troubleshoot and resolve issues.  Conduct model testing, calibration, and validation using experimental data.  Work with global engineering design centers on challenging modeling problems, promoting the use of simulation techniques to support design decisions.  Demonstrate the ability to learn new modeling tools/inhouse tools quickly and apply them effectively to solve complex engineering problems. Qualifications: o MS in Engineering, Data Analytics, or Physics, OR o Ph.D. in Mechanical Engineering with specialization in Thermal and Fluid Science.  Experience: o 8+ years of relevant experience in thermal modeling or related fields.  Mandatory Skills: o Proficiency in C# /Python for model development. o Strong understanding of HVAC&R systems, thermal fluid systems, and thermodynamic cycles. o Expertise in writing/solving equation-based models o Knowledge of refrigerant components such as heat exchangers, chillers, compressors, condensers, and evaporators.  Additional Skills (Preferred): o Experience in Python, .NET, Fortran, SQL, o Hands-on experience with tools like ANSYS Fluent, MATLAB/Simulink, and Dymola. o Familiarity with machine learning, signal processing, and optimization techniques. o Experience in model-based systems engineering (MBSE) methodologies. o Knowledge of basic refrigerant cycles (e.g., single-stage compression cycle). o Experience with embedded systems and lab testing.