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# Systems Modeling Engineer, ESS

- **Company:** Peak Energy
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Experimental Data, Python (Programming Language), MATLAB, Rapid Prototyping Process, Model Validation
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_58cf7b6f8aac0d563c345cd2d3c5253c

## About the Role

The ideal candidate is a self-starter who is hungry for knowledge, holds themselves and others to high standards, and brings a get-it-done attitude to every challenge - big or small., * Bachelor's or master's degree in Mechanical, Electrical, Systems Engineering, or a related field

 * 5-10 years of experience working with power systems (non-academic)
 * Experience with system-level equivalent circuit models
 * Strong electrical and thermal engineering fundamentals
 * Extensive use of MATLAB/Simulink or Python
 * Familiarity with high voltage battery systems or power electronics
 * Experience with design and manufacturing of medium to high volume products
 * Hands-on prototyping, validation, and testing experience
 * Passion for renewable energy, sustainability, and driving positive environmental impact through technology innovation
 * Eligible to work in the U.S., * High voltage battery and power electronics experience
 * Utility-scale energy storage systems experience
 * Supervisory control simulation experience

## Description

You will work closely with design, test, validation, manufacturing engineering, and leadership to navigate our products' development - exploring broadly and diving deeply with a drive for rigorous optimization, meticulous documentation, and clear communication of findings., * Define system and component design direction and requirements by developing detailed models of battery energy storage systems across operating modes and external conditions, including battery modules and power electronic components

 * Identify key performance indicators and optimize system design to enhance these metrics
 * Validate models with experimental data and refine them based on test results
 * Explore broadly and deeply, and clearly communicate assumptions, inputs, and findings
 * Define and spearhead selection and development of tools, infrastructure, and design practices
 * Interface tightly with design, test, and validation partners to inform design decisions
 * Drive and participate in a culture of rapid prototyping and testing