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REMOTE - Electrical Engineer - Utilities
4 weeks ago
About Johnson Controls
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.
From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission.
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.
As 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 have a background in engineering and experience debugging software. In particular, candidates should be comfortable reading and understanding code written by others (MATLAB, Python). Expertise in MATLAB is preferred, as is familiarity with chillers, mass/energy balances, and numerical optimization. Experience with Python is also preferred.
Write MATLAB code to implement new CUPO algorithm features
Review code written by other engineers to improve quality
Help prioritize and plan tasks in collaboration with product management
Collaborate with site teams to diagnose and resolve reported issues
developing Python modules
Read and write Python code for other autonomous buildings capabilities
Bachelor's degree in mechanical, electrical, chemical, or other engineering field
~4+ years of experience in applied engineering
~ Familiarity with HVAC equipment (chillers, cooling towers, AHUs, etc.)
~ Experience reading, writing, and troubleshooting Matlab code
~ Familiarity with Python and standard numeric packages (Numpy, Scipy, etc.)
~ dynamic programming, model-predictive control, reinforcement learning)
Graduate degree related to optimization of building energy systems
Eight years of experience in applied engineering
Experience 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 thermodynamics
linear/nonlinear programming, mixed-integer linear programming, metaheuristics)
dynamic programming, model-predictive control, reinforcement learning)
Experience writing and debugging numerical simulations
HIRING SALARY RANGE: $86,000 - $115,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) This role offers a competitive bonus plan that will take into account individual, group, and corporate performance. For details, please visit the About Us tab on the JohnsonControls Careers site at
Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. If you are an individual with a disability and you require an accommodation during the application process, visit here.
#Remote working/work at home options are available for this role.
