Battery Algorithms ML Engineer — BMS & AI Innovation

Apple, Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Benefits offered by this job

Comprehensive medical and dental

Employee stock programs

Education reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Battery Algorithm Software Engineer to design and develop advanced BMS software for multiple Apple products in a cross-functional team.

The role focuses on building robust battery management solutions, with emphasis on algorithms, architectures, and software modules to enhance battery utilization. The ideal candidate has a strong ML background and hands-on skills in Python and C++, with experience in D/L applications.

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++.

Responsibilities

• 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.

Skills

Python

C++

Machine Learning

Deep Learning

Education

MS degree in Computer Science or Electrical/Mechanical Engineering or related field

PhD (preferred) with 10+ years relevant industry experience

Job description

Apple Inc. is seeking a Battery Algorithm Software Engineer to design and develop advanced BMS software for multiple Apple products in a cross-functional team.

The role focuses on building robust battery management solutions, with emphasis on algorithms, architectures, and software modules to enhance battery utilization. The ideal candidate has a strong ML background and hands-on skills in Python and C++, with experience in D/L applications.