Senior Software and Algorithm Engineer

Johnson Controls • Glendale, AZ

1d • Remote

About The Position

Build your best future with the Johnson Controls team! Johnson Controls is a 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 Optimization Central 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.

Requirements

• Bachelor's degree in mechanical, electrical, chemical, or other engineering field.
• Familiarity with system-of-equations solvers for interconnected HVAC plant equipment.
• Proficiency in MATLAB for numerical algorithm development and debugging.
• Experience with Python and scientific computing libraries (NumPy, SciPy) for data processing and algorithm implementation.
• Familiarity with optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning).
• Comfortable with reading, understanding, and debugging code written by others.

Nice To Haves

• Graduate degree in Mechanical Engineering, Systems Engineering, or a related field with a focus on building energy systems, thermodynamics, or optimization.
• Eight years of experience in applied engineering.
• Excellent verbal and written communication skills.
• Experience with Python and data-science packages (Pandas, Scikit-Learn, etc.).
• Experience reading and writing C# code.
• Experience modeling HVAC equipment (chillers, cooling towers, AHUs, etc.).
• Familiarity with mass and energy balances and thermodynamics.
• Familiarity 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 simulations.
• Experience with JIRA.
• Familiarity with HVAC equipment (particularly chillers), thermodynamic systems including mass/energy balances, and mathematical optimization is highly valued.

Responsibilities

• Leads development and maintenance of the numerical algorithms that underpin the CUPO solution.
• Improve existing algorithms to cover new equipment types and configurations or enhance optimization performance.
• Work closely with site and modeling teams to understand reported issues, identify fixes, and resolve bugs in the algorithm code.
• Contribute to development of other autonomous buildings capabilities, including optimization of airside equipment.
• Develop and maintain MATLAB and Python code to implement new CUPO algorithm features and support new equipment configurations.
• Debug and resolve algorithm issues reported from live sites, working closely with field and modeling teams.
• Review peer code and develop test cases to ensure algorithm correctness and quality.
• Collaborate with product management to prioritize and plan development tasks, leveraging JIRA to track work and open issues.
• Partner with site teams to diagnose and resolve reported issues.
• Work independently to identify root causes of bugs and plan fixes.
• Contribute to autonomous buildings initiatives through Python-based optimization modules.
• Read and write Python code for other autonomous buildings and optimization capabilities.

Benefits

• Competitive salary
• Paid vacation/holidays/sick time
• Comprehensive benefits package including 401K, medical, dental, and vision care.
• On-the-job/cross-training opportunities
• Encouraging and collaborative team environment
• Dedication to safety through our Zero Harm policy

What This Job Offers

• Job Type: Full-time
• Career Level: Senior