Battery Algorithm ML Engineer

Cupertino, California, United States Hardware

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.

• 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 or C++.

• 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.

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Apple accepts applications to this posting on an ongoing basis.