Battery Algorithm ML 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.

Description

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.

Minimum Qualifications

MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
Experience in machine learning algorithms and deep learning applications.
Experience programming in Python and C++.

Preferred Qualifications

PhD and 3+ years relevant industry experience.
Experience with SW requirement definition and SW development process.
Experience in the design and architecture of machine learning inference pipelines and underlying infrastructure.
Experience in using AI coding tools and creating agentic AI applications.
Experience in innovative and creative ML feature development in battery or consumer electronic domain.