Algorithm Engineer II
 

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 likely 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 Central Utility Plant Optimization team, the Algorithm Engineer II help develop and maintain the numerical algorithms that underpin the solution. The Algorithm Engineer II will improve existing algorithms to cover new equipment types 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.

Algorithm components are implemented primarily in Matlab and include equipment modeling, load forecasting, mixed-integer linear programming, and nonlinear optimization. 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. Expertise in Matlab is preferred, as is familiarity with chillers, mass/energy balances, and numerical optimization.

How you will do it

• Contribute as a member of the algorithm team with assigned tasks

• Write Matlab code to implement new algorithm features

• Review code written by other engineers to improve quality

• 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

• Leverage JIRA and JIRA plugins to plan work and track open issues

What we look for

Required

• Degree in mechanical, electrical, chemical, or other engineering field

• (1) year of experience in applied engineering

• Experience reading, writing, and troubleshooting Matlab (or similar) code

• Self-starter and independent worker

Nice to have

• Excellent verbal and written communication skills

• Experience reading and writing C# code

• Familiarity with chillers and thermodynamics

• Familiarity with mass and energy balances

• Familiarity with numerical optimization

• Experience writing and debugging numerical simulations

• Experience with JIRA

Johnson Controls 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, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit www.johnsoncontrols.com/tomorrowneedsyou.