YDU JC Air Cond & Ref Inc.- Dubai
Senior Algorithm Engineer (remote)
YDU JC Air Cond & Ref Inc.- Dubai, Milwaukee, Wisconsin, United States, 53244
.Senior Algorithm Engineer (remote) page is loaded## Senior Algorithm Engineer (remote)locations:
Milwaukee-Wisconsin-United States of America:
Chicago-Illinois-United States of America:
Boston-Massachusetts-United States of America:
Miami FL Branch:
New York-New York-United States of Americatime type:
Full timeposted on:
Posted Todayjob requisition id:
WD30253318**About Johnson Controls**At Johnson Controls, we transform the environments where people live, work, learn and play. 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.**What you will do**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.**How you will do it**· Contribute as a member of the algorithm team with assigned tasks· 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· Work independently to identify causes of and plan fixes for bugs· Develop and maintain test cases to validate algorithm correctness· Play a direct role in the CUPO evolution, incl. developing Python modules· Read and write Python code for other autonomous buildings capabilities· Leverage JIRA to plan work and track open issues**What you will need
Required**· 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.)· Familiarity with optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)**Preferred**· Graduate degree related to optimization of building energy systems· 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., linear/nonlinear programming, mixed-integer linear programming, metaheuristics)· Proficiency in optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)· Experience writing and debugging numerical simulations· Experience with JIRAJohnson Controls Careers site at https://jobs.johnsoncontrols.com/about-usJohnson 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. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit . If you are an individual with a disability and you require an accommodation during the application process, please visit here.Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet.At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play. #J-18808-Ljbffr
Milwaukee-Wisconsin-United States of America:
Chicago-Illinois-United States of America:
Boston-Massachusetts-United States of America:
Miami FL Branch:
New York-New York-United States of Americatime type:
Full timeposted on:
Posted Todayjob requisition id:
WD30253318**About Johnson Controls**At Johnson Controls, we transform the environments where people live, work, learn and play. 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.**What you will do**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.**How you will do it**· Contribute as a member of the algorithm team with assigned tasks· 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· Work independently to identify causes of and plan fixes for bugs· Develop and maintain test cases to validate algorithm correctness· Play a direct role in the CUPO evolution, incl. developing Python modules· Read and write Python code for other autonomous buildings capabilities· Leverage JIRA to plan work and track open issues**What you will need
Required**· 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.)· Familiarity with optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)**Preferred**· Graduate degree related to optimization of building energy systems· 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., linear/nonlinear programming, mixed-integer linear programming, metaheuristics)· Proficiency in optimal-control strategies (e.g., dynamic programming, model-predictive control, reinforcement learning)· Experience writing and debugging numerical simulations· Experience with JIRAJohnson Controls Careers site at https://jobs.johnsoncontrols.com/about-usJohnson 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. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit . If you are an individual with a disability and you require an accommodation during the application process, please visit here.Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet.At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play. #J-18808-Ljbffr