Controls Algorithm Engineer

Trane Italia•La Crosse, WI

12d•$77,300 - $110,250•Hybrid

About The Position

Trane Technologies is a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes, and transportation, with a core mission to prioritize the planet. Sustainability is not merely a business practice but the very essence of their operations. The company's digital solutions team is at the forefront of developing next-generation climate technology, specifically focused on reducing demand-side energy consumption and emissions. This team, which includes entities like BrainBox AI and Nuvolo, leverages technical expertise and advanced analytics to deliver data-driven solutions that provide significant value to customers, communities, and the environment. Trane Technologies is actively seeking a Controls Algorithm Engineer to join its Trane team in La Crosse, WI. This role is pivotal in creating the next generation of industry-leading HVAC equipment controls, building upon Trane's reputation for delivering energy-efficient and reliable solutions that minimize operating costs and environmental impact. The ideal candidate is encouraged to bring diverse views, opinions, and perspectives to a team characterized by strong technical leadership, with opportunities to gain deep business insights and contribute to global change through customer relationships.

Requirements

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)
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
Knowledge of heat transfer, refrigeration systems, thermodynamics

Nice To Haves

Master’s degree preferred
Advanced control knowledge preferred (modern control theory, model predictive control, non-linear control, adaptive control)
Optionally Stateflow proficiency
Experience with product development processes preferred
Experience with HVAC Systems and Components preferred
Software Skills: Modelica, Python
Knowledge of HVAC compressor technologies
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
Academic: Non-Linear Systems and Control
Academic: Optimal Control
Academic: Machine Learning
Academic: Applied Linear Algebra
Academic: Numerical Analysis
Academic: HVAC Fundamentals
Academic: Thermodynamics
Academic: Object Oriented Analysis & Design
Academic: C, Python programming

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