Modeling Engineer - e-Storage - US

At Canadian Solar, our vision is to make lives better by bringing electricity powered by the sun to millions of people worldwide. As a leading manufacturer of solar panels, inverters, and energy storage solutions, we've been an industry front-runner since our founding in 2001. Our commitment to sustainability is reflected in all parts of our organization as we navigate the complexities of a booming industry.

Throughout Canadian Solar's subsidiaries, e-Storage, Recurrent Energy, MSS and CSI Solar Co., we invest in our employees' growth. Our training programs and promotional opportunities ensure we all can continue to learn. We understand the importance of work-life balance and provide various flexible work options to support our employees' well-being. Join our team to "Make the Difference" by creating a lasting positive impact on the world and the communities where we operate.

The Modeling Engineer will play a critical role in developing, implementing, and maintaining digital twin models and AI-driven analytics for Battery Energy Storage Systems. This role focuses on creating accurate system representations to enhance performance optimization, predictive maintenance, and real-time decision-making capabilities. The ideal candidate will have a strong background in modeling, AI/ML algorithms, control systems, and energy applications. They will be responsible for designing, implementing, and enhancing machine learning models and AI systems to optimize industrial and energy assets. This role requires a strong foundation in simulation modeling, machine learning, and AI-driven analytics to create systems that improve operational efficiency, predict failures, and deliver actionable insights.

Key Responsibilities:

• Develop and implement machine learning models to optimize BESS performance, including charge/discharge cycles, thermal management, and lifecycle predictions.
• Create predictive maintenance algorithms to enhance system reliability and minimize downtime.
• Analyze IoT sensor data to identify anomalies and optimize BESS efficiency and safety.
• Collaborate with cross-functional teams to integrate machine learning solutions into BESS control and monitoring platforms.
• Build scalable data pipelines for processing large volumes of time-series and operational data from BESS assets.
• Perform rigorous testing and validation of machine learning models using historical and real-time BESS data.
• Document technical processes, methodologies, and results to ensure transparency and reproducibility.

Related Experience:

• 3 years of experience in machine learning development, simulation modeling, and AI/ML applications within the energy or BESS industry.
• Demonstrated experience in predictive maintenance, optimization algorithms, and failure analysis for energy storage systems.
• Familiarity with edge computing solutions and industrial automation frameworks specific to BESS.
• Proven ability to work with large data sets and build scalable AI-driven systems tailored to energy applications.
• Hands-on experience working with IoT sensors and time-series data from BESS systems.

Programming:

• Proficiency in programming languages such as Python, C , or R.
• Experience with simulation tools (e.g., MATLAB/Simulink, Modelica, Ansys, or equivalent platforms) for modeling BESS components.
• Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with Linux command-line.

Cloud Platforms:

• Hands-on experience with cloud-based environments such as AWS, Azure, or GCP.
• Knowledge of big data platforms and tools for IoT data processing and real-time analytics specific to energy storage.
• Programming knowledge: Scripting (Python, Batch), relationship & time series databases, writing automated tests, Jupyter, Deepnote.
• Experience with Azure and AWS cloud infrastructure.

Personal Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related field with a focus on energy systems or BESS.
• A minimum of 3 years of hands-on experience in AI/ML, digital twin development, or simulation modeling for BESS.
• Certification in AI/ML or energy storage systems is a plus.
• Excellent project management skills with a track record of successfully leading complex projects from concept to completion.
• Strong problem-solving and decision-making abilities.
• Extensive experience in real-time embedded controls and cloud-based development of software for real-time and non-real-time energy technology platforms.
• Strong stakeholder management skills with a demonstrated ability to deliver and follow up on large-scale projects on time and within budget.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Willingness to travel up to 25%, including international travel.

Compensation & Benefits

Canadian Solar offers a competitive salary plus fully comprehensive benefits and performance bonus package based on an annual objective achievement. Canadian Solar Inc. is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.