Senior Controls Optimization Engineer, M&S
What’s in it for you:
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient environments, it’s our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what’s possible for a sustainable world.
- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- 401(k) match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
- Paid Time Off, including in support of volunteer and parental leave needs.
- Educational and training opportunities through company programs along with tuition assistance and student debt support.
- Learn more about our benefits here!
Where is the work:
This position has been designated as a Hybrid work schedule with work performed on-site 3-days each week.
Core Job Responsibilities (others may be added):
- Develop and deploy models at the system level, including HVAC equipment, building energy models (BEMs), Distributed Energy Resources (DERs like Thermal Energy Storage), and their interaction within the Grid Connected environment.
- 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. Apply this expertise to develop detailed models that accurately reflect system design, analysis, control, and operations.
- Develop and implement state-of-the-art physics/data-based system models (0D/1D) to enable performance predictions, and transient analyses, supporting key strategic areas like electrification and data centers.
- Demonstrate good understanding of Machine learning, Reinforcement learning, Software engineering concepts for controls, etc. Apply this expertise to develop and analyze control system models for HVAC equipment’s.
- Develop and implement state-of-the-art physics/data-based system models to enable performance predictions, and transient analyses, supporting key strategic areas like electrification and decarbonization and data centers.
- Work with internal and external partners in technical execution of long term externally funded R& D projects.
- Works closely with global team members, cross-functional associates and internal customers in dynamic environment, to understand the implications of modeling results and drive system level optimization and answer critical design questions through modeling results.
- Lead the evaluation of new and innovative technologies as they appear for potential commercial value, either as disruptive competition or prospective new products or services for the company.
- Develop and communicate clear understanding of customer requirements and meet or exceed those expectations.
- Conceptualize & develop project ideas leading to new advanced capability development in related domain areas to keep TT to the leading edge of technology.
- Network across the organization and externally to identify and communicate opportunities to apply system modeling and simulation to product design, applications and processes.
- Leads internal strategic projects and reports project progress for quality, deliverables and cost.
- Overnight Travel - approximately 10%.
Minimum Qualifications:
- Master's Degree in Engineering or Building Science or Controls and at least 3-years of work experience in modeling and/or simulation is required.
- PhD with an emphasis in thermodynamic/HVAC/building sciences or controls is a plus, but is not required.
Key Competencies:
- Experience in HVAC systems modeling, building energy management systems or HVAC equipment/controls is desirable.
- Experience with Modelica or Matlab/Simulink based system modeling preferred.
- Experience in control system optimization using advanced control methods like Reinforcement learning, Model predictive control, etc applied in HVAC preferred.
- Experience in modeling or controls of data centers desirable.
- Familiarity with data science, predictive modeling, and surrogate modeling techniques is necessary.
- 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.
- Experience with CUDA, PINNS and GPU Computing is desirable.
Compensation:
Pay Range: $85,000 - $148,000. This pay range is based on US national averages. Actual pay is a result of seniority, merit, geographic location where the work is performed.
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.