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Battery Algorithm and Modeling Engineer

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: OSI Engineering
Full Time position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Electrical Engineering, Software Engineer, Robotics
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

A globally leading consumer device company headquartered in Cupertino, CA is looking for Battery Algorithm and Modeling Engineer to work on the forefront of Battery Systems. In this role you will apply your skills as a modeling and algorithm engineer to design and develop future battery algorithms and models for next generation consumer electronic products. You will be part of a multi-functional team to develop new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries.

In this position you will be expected to use a combination of advanced mathematics, machine learning, electrical engineering, and control engineering knowledge.

Responsibilities
  • Develop algorithms to estimate State of charge and State of Power of batteries.
  • Develop machine learning algorithms or mathematical models to predict lifetime cell electrical performance.
  • Develop advanced battery model and control algorithms to improve battery performance in the system.
  • Develop models to estimate and optimize cell and pack performance in design phase.
  • Develop simulation models and tools to evaluate such new algorithms.
  • Help reduce the complexity of estimation algorithms so that they to implement in resource constrained computing platforms.
Required Qualifications
  • Minimum of 3 years relevant industry experience
  • BS degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, or related field
  • Experience in dynamic modeling using modeling and simulation tools like MATLAB, Simulink and other specialized tools.
Preferred Qualifications
  • PhD degree with relevant experience is preferred
  • Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
  • Good experience on statistical and machine learning algorithm design, optimization, time series analysis, state estimation and control algorithms
  • Good understanding of Li-ion battery modeling.
  • Experience in writing efficient codes to analyze large data sets is preferred
  • Knowledge in detailed battery modeling and electrochemistry is a plus.
  • Expertise in C/C++ programming is a plus.
Other
  • Type: Contract
  • Duration: 12 months with extension
  • Work Location: Cupertino, CA or San Diego, CA (on site or remote (PST))
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