Controls Algorithm Engineer
LocationLa Crosse, Wisconsin
Work modeon-site
Typefull-time
SeniorityEntry
Experience1–3 yrs
Company size10,000+ people
PostedMay 12, 2026 · 5mo ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
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
Matlab/Simulink, Modelica, C++ programming, Python
Knowledge of heat transfer, refrigeration systems, thermodynamics
Knowledge of HVAC compressor technologies
Knowledge of sensors and actuators
Master's degree preferred
Advanced control knowledge preferred (modern control theory, model predictive control, non-linear control, adaptive control)
Experience with product development processes preferred
Experience with HVAC Systems and Components preferred
Knowledge of HVAC control strategy
Knowledge of data analysis
Knowledge of HVAC equipment sequence of operations
Knowledge of HVAC system modeling
Able to travel overnight; less than 5% of the time
Skills
Matlab/Simulink
Modelica
C++
Python
C
Stateflow
Benefits
Health insurance
401(k)
Unlimited PTO
Tuition assistance
About the company
Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it’s our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including Trane® and Thermo King, 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
Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Where is the work:
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
What’s in it for you:
A sustainable future demands ongoing digital advancement. Our digital solutions team leads the way in developing next-generation climate technology focused on reducing demand-side energy consumption and emissions. Our team—including BrainBox AI, Nuvolo, and more—combines technical expertise with advanced analytics to create data-driven solutions that add real value for customers, communities, and the planet. Whether you’re advancing AI in HVAC or driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable world.
About the role
Trane Technologies is currently seeking a Controls Algorithm Engineer to join our Trane team in La Crosse WI, on the beautiful Mississippi River. This team is creating the next generation, industry leading HVAC equipment controls. Our customers know Trane’s reputation to deliver industry leading, energy efficient and reliable solutions to minimize operating costs while reducing environmental impact to the world.
Here are some of the specifics, we have great experience in our domain, and we want you to bring your views, opinions, and perspectives to our team. You will learn things about our business that you might not have even thought about. we have strong technical leadership, we want you to bring your expertise and perspective, and your desire to learn and we exist for our customers, and through our relationships with our customers, we intend to change the world.
What you will do:
•
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.
What you will bring:
•
Bachelor’s degree (Mechanical Engineering, Electrical Engineering, Applied Mathematics, Physics or related), Master’s degree preferred.
•
1-3 years of control theory experience.
•
Classical control knowledge required (PID control, linear control, digital filtering).
•
Advanced control knowledge preferred (modern control theory, model predictive control, non-linear control, adaptive control).
•
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.
•
Experience with product development processes preferred.
•
Experience with HVAC Systems and Components preferred.
•
Ability to effectively communicate with others both written and orally.
•
Mobility within the office. Frequent keyboarding. Ability to travel to Trane Business Locations.
•
Technical Skills:
Software Skills: Matlab/Simulink, Modelica, C++ programming, Python.
Knowledge of heat transfer, refrigeration systems, thermodynamics.
Knowledge of HVAC compressor technologies.
•
Professional Experience (Desired)
Nice to have
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.
Annual Base Salary Range or Hourly Base Pay Range:
$84,740.00 - $118,860.00
Compensation Type:
Salary
Incentive Eligible:
No
Sales Commission Eligible:
No
Legal
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
Thrive at work and at home:
•
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.
•
401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
•
Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
•
Educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary depending on Collective Barraging Agreements and local/state regulations.
Safety Sensitive Role:
No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
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.
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