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Form of workSummary
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 Management Systems? In this role you will apply your skills as an Algorithm Engineer to design and develop future BMS 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.
Key Qualifications
Experienced in dynamic modeling, statistical and machine learning algorithm design.
Good knowledge of developing solutions using control theories like Kalman filters, state observers and others.
Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
Proficient in using modeling and simulation tools like MATLAB, Simulink and other specialized tools.
Experience in writing efficient codes to analyze large data sets.
General understanding of Li-ion battery modeling. Knowledge in detailed battery modeling and electrochemistry is a plus.
Expertise in C/C++ programming is a plus.
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.
Education & Experience
BS and a minimum of 3 years relevant industry experience.
MS with 3+ years of related experience or PhD with relevant experience preferred.
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 Management Systems? In this role you will apply your skills as an Algorithm Engineer to design and develop future BMS 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.
Key Qualifications
Experienced in dynamic modeling, statistical and machine learning algorithm design.
Good knowledge of developing solutions using control theories like Kalman filters, state observers and others.
Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
Proficient in using modeling and simulation tools like MATLAB, Simulink and other specialized tools.
Experience in writing efficient codes to analyze large data sets.
General understanding of Li-ion battery modeling. Knowledge in detailed battery modeling and electrochemistry is a plus.
Expertise in C/C++ programming is a plus.
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.
Education & Experience
BS and a minimum of 3 years relevant industry experience.
MS with 3+ years of related experience or PhD with relevant experience preferred.
