Senior Software and Algorithm Engineer

About the role

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.

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

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)

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 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

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

Pay

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.