Senior Software and Algorithm Engineer
About The Position
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.
Requirements
- 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)
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
