Senior Optimization Engineer

Description POSITION DESCRIPTION We are looking for a Senior Optimization Engineer to join our Residential Applications team to design, develop, and optimize Distributed Energy Resources (DER) scheduling and dispatch models. This role translates product requirements and energy market rules into mathematical optimization models that support participation in wholesale electricity markets, demand response programs, and behind-the-meter incentives. The ideal candidate has experience building optimization models for energy applications and will work closely with product managers, forecasting teams, sales engineers, and operations. This position will be based out of Santa Clara, CA, San Francisco, CA, or Irvine, CA. RESPONSIBILITIES Collaborate with product managers to understand program requirements and market rules Translate market and program requirements into DER scheduling and dispatch optimization models Develop constraints and penalty structures to guide heuristic behaviors Design, unit test, and document object-oriented Python code Write Python code to manipulate and analyze time-series data Collaboratively review and revise pull requests with team members Partner with the forecasting team on probabilistic forecasting and optimization approaches Contribute to the development and maintenance of simulation code used to evaluate algorithm performance and DER economics Conduct batch simulation experiments to tune models and parameters for maximum performance Troubleshoot optimizer software operational issues and use production data to improve algorithms Provide support to sales engineering and operations teams on optimizer configuration REQUIRED QUALIFICATIONS 3+ years of industry experience developing optimization models for energy applications M.S. in Science, Engineering, Applied Mathematics, Operations Research, or equivalent combined education and work experience Experience with optimization modeling packages such as Pyomo, CVXPY, or solver APIs (Gurobi, CPLEX, Xpress) Strong theoretical background in Linear Programming, Mixed-Integer Programming, and Convex Optimization Strong foundation in linear algebra and statistics Experience using Python libraries for numerical methods and time-series analysis (NumPy, Pandas, SciPy) Experience working in a collaborative software development environment (Git, code reviews) Ability to write clean, maintainable, and production-ready code Ability to collaborate effectively with cross-functional engineering teams Travel may be required up to 10%, depending on business needs PREFERRED QUALIFICATIONS Knowledge of machine learning algorithms, including time-series forecasting, clustering, and probabilistic models Experience with PostgreSQL and Django Familiarity with cloud and IoT technologies and scalable platforms such as Docker, AWS, and Kubernetes Experience in renewable energy, distributed energy resources, or electricity markets Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world's largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology & Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea. PHYSICAL, MENTAL & ENVIRONMENTAL DEMANDS: To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements normally expected to perform regular job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation. Mobility Standing 20% of time Sitting 70% of time Walking 10% of time Strength Pulling up to 10 Pounds Pushing up to 10 Pounds Carrying up to 10 Pounds Lifting up to 10 Pounds Dexterity (F = Frequently, O = Occasionally, N = Never) Typing F Handling F Reaching F Agility (F = Frequently, O = Occasionally, N = Never) Turning F Twisting F Bending O Crouching O Balancing N Climbing N Crawling N Kneeling N The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job's minimum qualifications. *This target salary range is for CA positions only and should not be interpreted as an offer of compensation. 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Created: 2026-04-02