Senior Algorithm Engineer - Eastern US (remote)
Senior Algorithm Engineer - Eastern US (remote)
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Job Description
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 100000 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 energyand 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.
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
Bachelors 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 JIRA
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. To view more information about your equal opportunity and non-discrimination rights as a candidate visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process please visit here.
Required Experience:
Senior IC
Employment Type
Full-Time
