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Salary
≈ $131k – $239k per year (Estimated)
Location
In office (Cupertino)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 6,350 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026. Apple scores B on the Alion truth index.

Overview
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Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

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

BS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.

Experience coding in C and/or C++.

Preferred Qualifications

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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