System Modeling Engineer(Remote)

 LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning and auxiliary systems.  Our AEROS® energy operating system is the engine of innovation to provide advanced control functions allowing our customers to maximize the value of their energy storage assets.  Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades.  The combination of excellence in battery technology and production coupled with nearly two decades of energy storage integration makes LGES Vertech a leading supplier and integrator in the power and energy markets. 

LGES Vertech is a highly matrixed, team oriented organization that fosters cross functional collaboration and innovation.  The company seeks high caliber candidates with proven experience and with characteristics that embody our corporate commitment to the virtues of humble, hungry and smart in all we do. 

For more information about LGESVT, please visit www.lgensol-vt.com.  

Position Overview 

LGES Vertech is seeking a motivated and entrepreneurial-spirited Systems Modeling Engineer to join our Data Science team and contribute to innovative projects in the Battery Energy Storage Systems (BESS) domain. This role offers the opportunity to work cross-functionally, developing inverter models, electrical subsystem models, and physics-based battery models, and to help build the next generation of flagship digital products.  

Primary Responsibilities 

• Model Li-ion battery-based energy storage subsystems, including state machines, closed-loop controls, and related building blocks.


• Collaborate with systems and controls engineering teams to develop physics-based models, simulate system performance, and validate lab and field data.


• Support DevOps in packaging and deploying system models for customer-facing applications.


• Analyze large volumes of time-series data to identify patterns, validate assumptions, and derive actionable insights.


• Participate in Agile software development practices, contributing to design reviews, sprint planning, and iterative releases.


• Produce high-quality documentation and communicate effectively across technical and non-technical teams.

Key Knowledge, Skills and Abilities 

• Minimum 3 years of industry experience developing physics-based system models.
  Demonstrated 2 years of experience with MATLAB, Simulink, and Simscape libraries.


• Hands-on experience with control systems modeling (PID loops, state machines, etc.).


• Proficiency in Python for scientific computing and software development.


• Experience in Linux-based environments.


• Familiarity with Jira, Git, or equivalent collaboration tools.


• Strong background in power systems and inverter modeling is preferred.


• Experience with battery-based system modeling is preferred.


• Excellent communication skills and ability to collaborate within diverse, global teams.


• Legal authorization to work in the U.S. required.

Education and Experience 

•  M.S. in Electrical Engineering or Power Systems or equivalent required; Ph.D. preferred


• Minimum 3 years of industry experience developing physics-based system models.