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Senior Building Systems Modeling Engineer
2 months ago
We are seeking a highly skilled Senior Building Systems Modeling Engineer to join our team at Trane Technologies. As a world leader in creating comfortable, sustainable, and efficient environments, we are committed to putting the planet first and driving innovation in climate solutions.
About the Role
In this role, you will be responsible for developing and deploying models at the system level, including HVAC equipment, building energy models, Distributed Energy Resources, and their interaction within the Grid Connected environment. You will also develop a comprehensive understanding of HVAC equipment operation in chilled and hot water heating systems designed for buildings, data centers, and various processed cooling and heating applications.
Key Responsibilities
- Develop and deploy models at the system level, including HVAC equipment, building energy models, and Distributed Energy Resources.
- Develop a comprehensive understanding of HVAC equipment operation in chilled and hot water heating systems.
- Demonstrate detailed technical understanding of Buildings and Grid Controls, Demand Management, Energy conservation measures, and justify the impact on energy savings and CO2e reductions.
- Develop and implement state-of-the-art physics/data-based system models to enable performance predictions and transient analyses.
- Participate in long-term technology roadmap development discussions and help build new external partnerships for Trane Technologies.
- Actively look for external funding opportunities in the domain area and provide technical inputs in development of project proposals.
- Work with internal and external partners in technical execution of long-term externally funded R&D projects.
- Lead the evaluation of new and innovative technologies as they appear for potential commercial value.
- Develop and communicate clear understanding of customer requirements and meet or exceed those expectations.
- Conceptualize and develop project ideas leading to new advanced capability development in related domain areas.
Requirements
- Master's Degree in Engineering or Building science or equivalent and at least 3 years of modeling and/or simulation experience is required.
- PhD with an emphasis in Thermodynamic/HVAC/building sciences is a plus.
- Must have experience in HVAC systems modeling, Building energy management systems, or HVAC equipment and controls.
- Proficiency in MATLAB/Simulink or Modelica-based system modeling for at least 6 months is required.
- Familiarity with data science, predictive modeling, and surrogate modeling techniques is necessary.
- Knowledge or experience in applying HVAC system modeling and controls to data center application is desirable.
- Understanding of generative AI (LLM Agents) for RAG-based applications, machine learning, and predictive maintenance is desirable.
- Experience with building modeling software such as Energy Plus/TRACE 3D+ is preferred.
- Practical experience in closed-loop control for a minimum of 6 months is preferred, along with knowledge of multi-variable control.
- Emphasis on computer programming or related experience is beneficial, particularly in C#/C++, Python, or Javascript.
- Experience and familiarity working in a research-oriented environment preferred.
- Must be an innovative self-starter capable of setting and meeting goals and deadlines, and of making critical business decisions.
- Excellent communication and teamwork skills are necessary.
- Demonstrates intellectual curiosity and industrial awareness, capable of applying advanced approaches, technologies, and innovations in modeling and simulation for organizational advancement.
What We Offer
We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
