Controls Algorithm Engineer
Trane Technologies is a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes, and transportation. They are seeking a Controls Algorithm Engineer to develop advanced control strategies and algorithms for HVAC equipment, ensuring energy efficiency and reliability.
Responsibilities
- Work with product management and application engineering to understand product requirements
- Develop control strategies and algorithms to meet or exceed product requirements
- Develop technical specifications to be used by the team for software development and verification
- Utilize effective communication techniques to help team members understand and implement the design strategy
- Lead dynamic controls testing: test planning, lab support, data analysis
- Develop and execute hardware in loop testing (real time data analysis)
- Advance model driven development methods
- Able to travel overnight; less than 5% of the time
Skills
- Bachelor's degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or related)
- 1-3 years of control theory experience
- Classical control knowledge required (PID control, linear control, digital filtering)
- System modeling expertise required (Proficiency with Matlab Simulink, and optionally Stateflow)
- Understanding of thermodynamics, heat transfer, fluid dynamics
- Programming skills in C++ with the ability to learn new programming languages
- Ability to function in a team environment
- Ability to effectively communicate with others both written and orally
- Mobility within the office
- Frequent keyboarding
- Ability to travel to Trane Business Locations
- Software Skills: Matlab/Simulink, Modelica, C++ programming, Python
- Knowledge of heat transfer, refrigeration systems, thermodynamics
- Knowledge of HVAC compressor technologies
- Master's degree
- Advanced control knowledge preferred (modern control theory, model predictive control, non-linear control, adaptive control)
- Experience with product development processes
- Experience with HVAC Systems and Components
- Knowledge of HVAC control strategy
- Knowledge of data analysis
- Laboratory experience
- Knowledge of sensors and actuators
- Knowledge of HVAC equipment sequence of operations
- Knowledge of HVAC system modeling
- Academic: Linear Systems and Control, Non-Linear Systems and Control, Optimal Control, Machine Learning, Applied Linear Algebra, Numerical Analysis, HVAC Fundamentals, Thermodynamics, Object Oriented Analysis & Design, C++, C, Python programming
Benefits
- Learn about our benefits designed for you to Thrive at work and at home.
- Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
- We offer competitive compensation and comprehensive benefits and programs.
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