Senior Software and Algorithm Engineer

Reposted 8 Days Ago
Be an Early Applicant
Milwaukee, WI, USA
In-Office
89K-149K Annually
Senior level
Other • Security
The Role
The Senior Algorithm Engineer develops and maintains algorithms for CUPO, debugging issues, collaborating with teams, and enhancing optimization for HVAC systems.
Summary Generated by Built In

Build your best future with the Johnson Controls team!

Who we are:

Johnson Controls is 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.

What We Offer:

  • 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 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 bring a strong engineering foundation and hands-on experience with numerical software development. Proficiency in MATLAB is essential, with working knowledge of Python also required. Candidates must be comfortable with reading, understanding, and debugging code written by others. Familiarity with HVAC equipment (particularly chillers), thermodynamic systems including mass/energy balances, and mathematical optimization is highly valued

How you will do it:

  • 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

What you will need:
 

Required

  • 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)

Preferred

  • 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

SALARY RANGE: $89,000 - $149,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.)  This position includes a competitive benefits package. The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us

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.

Skills Required

  • Bachelor's degree in mechanical, electrical, chemical, or other engineering field
  • Proficiency in MATLAB for numerical algorithm development
  • Experience with Python and scientific computing libraries (NumPy, SciPy)
  • Familiarity with optimal-control strategies

Johnson Controls Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.

  • Retirement Support Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
  • Leave & Time Off Breadth Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
  • Flexible Benefits Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.

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The Company
HQ: Chennai
100,000 Employees
Year Founded: 1885

What We Do

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. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.

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