Battery Algorithm Engineer

1 week ago


Sunnyvale, United States L&T Technology Services Full time

The mission of the battery team is to develop power sources for the devices that enable these experiences. We are looking for a highly motivated candidate with a background in battery state tracking and controls to join our team.


In this role, goal is to implement new battery algorithms to improve run time, reduce charge time, improve performance across temperature and extend battery life. We are specifically looking for a candidate with experience in developing, implementing, testing and validating new algorithms for Li-ion batteries.


Responsibilities


  • Collaborate with cell, algorithm, and validation engineers to develop and validate battery models to guide battery design decisions
  • Leverage battery models to estimate battery life and power delivery capability across different operating conditions
  • Develop and validate battery algorithms to improve battery performance metrics such as charge time, cycle life and run time
  • Monitor battery telemetry to assess the performance of existing battery algorithms and derive representative use cases to guide the development of new algorithms


Minimum Qualifications


  • M.S. degree in engineering, material Science or physics
  • Basic understanding of battery electrochemistry and electrical characteristics of Li-ion batteries
  • Knowledge of control theory and its application to Li-ion battery modeling
  • Experience developing test plans to validate algorithms for battery management systems
  • Proficient with scripting, data processing, and performing dynamic simulations in MATLAB and/or Python
  • Interpersonal skills and experience to work effectively in a dynamic team-oriented environment


Preferred Qualifications


  • 3+ years of experience developing battery management algorithms
  • Working knowledge of battery fuel gauge algorithms for consumer electronics from common fuel gauge vendors
  • Experience in embedded programming in C/C++, unit testing, and new firmware integration
  • Background in a high-volume consumer electronics industry
  • Experience with using data driven AL/ML algorithms for battery control and battery health diagnostics
  • Familiarity with cell/battery testing equipment (Maccor, Arbin, Neware, BioLogic, or equivalent)


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