Battery Algorithm SW Engineer
Listed on 2026-11-05
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Software Development
Software Engineer, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Embedded Software Engineer
Are you interested to work on the forefront of Battery Management Systems? In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment. The ideal individual will be proficient in this field, who has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products. Be a part of a team developing new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries.
The BMS team is looking for battery algorithm software engineer to design and develop advanced battery and power management algorithms and software for various Apple products. Working with a cross-function team including algorithms, software, and system engineers, you will be required to define SW architecture and write SW modules to implement innovative battery algorithms.
Develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment.
Develop and commercialize robust battery management solutions for consumer, industrial, telecom or automotive products.
Develop new class of battery systems involving algorithms, architectures and products to improve the utility of batteries.
Design and develop advanced battery and power management algorithms and software for various Apple products.
Work with cross-functional teams including algorithms, software, and system engineers and will define SW architecture.
Write SW modules to implement innovative battery algorithms.
BS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
Experience coding in C and/or C++.
PhD and 3+ years relevant industry experience.
Understanding of battery modeling and control theory.
Experience debugging software to tackle challenging problems.
Experience working with cross-functional teams.
Experience in machine learning algorithms and deep learning applications.
Experience with SW requirement definition and SW development process.
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