Senior Software and Algorithm Engineer

Build your best future with the Johnson Controls team!Who We AreJohnson Controls is global leader in smart, healthy, and sustainable buildings. Our mission is to reimagine the performance of buildings to serve people, places, and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away!About Central Utility Plant OptimizationCentral plants are the biggest contributor to occupant comfort, the biggest supplier of energy—and the biggest consumer of energy. Building managers can keep it running at optimum efficiency with the next generation of plant optimization software from Johnson Controls. We build on our innovative OpenBlue digital platform to connect systems and data for intelligent, automated decision-making. Our Enterprise Manager Central Utility Plant Optimization (CUPO) solution monitors thousands of variables, gathering data every 15 minutes from your connected equipment and from external sources such as weather forecasts and utility rates. CUPO automatically generates and implements optimization decisions, controlling many brands of equipment and plant types. Customers see rapid ROI, reduced costs, increased reliability, and advancement of sustainability goals.What We OfferCompetitive salaryPaid vacation/holidays/sick timeComprehensive benefits package including 401K, medical, dental, and vision care.On-the-job/cross-training opportunitiesEncouraging and collaborative team environmentDedication to safety through our Zero Harm policyWhat You Will DoAs a member of the OpenBlue AI team, the Senior Algorithm Engineer leads development and maintenance of the numerical algorithms that underpin the CUPO solution. You will improve existing algorithms to cover new equipment types and configurations or enhance optimization performance. The position will also work closely with site and modeling teams to understand reported issues, identify fixes, and resolve bugs in the algorithm code. Finally, you will contribute to development of other autonomous buildings capabilities, including optimization of airside equipment. We prefer to have this individual reside in Eastern time zone, but this is a remote opportunity.Successful candidates will bring a strong engineering foundation and hands-on experience with numerical software development. Proficiency in MATLAB is essential, with working knowledge of Python also required. Candidates must be comfortable with reading, understanding, and debugging code written by others. Familiarity with HVAC equipment (particularly chillers), thermodynamic systems including mass/energy balances, and mathematical optimization is highly valuedHow You Will Do ItDevelop and maintain MATLAB and Python code to implement new CUPO algorithm features and support new equipment configurationsDebug and resolve algorithm issues reported from live sites, working closely with field and modeling teamsReview peer code and develop test cases to ensure algorithm correctness and qualityCollaborate with product management to prioritize and plan development tasks, leveraging JIRA to track work and open issuesPartner with site teams to diagnose and resolve reported issuesWork independently to identify root causes of bugs and plan fixesContribute to autonomous buildings initiatives through Python-based optimization modulesRead and write Python code for other autonomous buildings and optimization capabilitiesRequiredWhat you will need:Bachelor's degree in mechanical, electrical, chemical, or other engineering field Familiarity with system-of-equations solvers for interconnected HVAC plant equipmentProficiency in MATLAB for numerical algorithm development and debugging.Experience with Python and scientific computing libraries (NumPy, SciPy) for data processing and algorithm implementationFamiliarity with optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)PreferredGraduate degree in Mechanical Engineering, Systems Engineering, or a related field with a focus on building energy systems, thermodynamics, or optimizationEight years of experience in applied engineeringExcellent verbal and written communication skillsExperience with Python and data-science packages (Pandas, Scikit-Learn, etc.)Experience reading and writing C# codeExperience modeling HVAC equipment (chillers, cooling towers, AHUs, etc.)Familiarity with mass and energy balances and thermodynamicsFamiliarity with numerical optimization (e.g., mixed-integer linear/nonlinear programming)Proficiency in optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)Experience writing and debugging numerical simulationsExperience with JIRASALARY RANGE: $89,000 - $149,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.) This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us