Battery Algorithm and Modeling Engineer

Cupertino, California, United States
Hardware

Summary

Posted:
Role Number:200594925
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. Envision what you could do here! At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you interested 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.

Description

We are looking for an individual who will be developing new class of algorithms and architectures for products to improve the runtime and performance of batteries. In this position you will be expected to use a combination of advanced mathematics, machine learning, electrical engineering, and control engineering knowledge to: - 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.

Minimum Qualifications

  • BS degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, or related field and a minimum of 3 years relevant industry experience
  • Experienced in dynamic modeling using modeling and simulation tools like MATLAB, Simulink and other specialized tools.

Key Qualifications

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.

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.