Battery Modeling and Algorithm Engineer

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

Benefits offered by this job

Employee stock programs

RSU awards

Employee Stock Purchase Plan

Medical and dental coverage

Retirement benefits

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Battery Engineer in Cupertino to develop physics-based models and machine learning algorithms that maximize energy density in smaller devices.

You will model electrochemical behavior, aging, and performance, and collaborate with pack engineers to translate models into production-ready solutions. Relevant ML methods and PDE/ODE modeling experience are expected.

Qualifications

• MS degree or higher in a relevant field.
• Experience with electrochemical processes and safety characterization.
• Experience with physics-aware ML modeling and optimization.
• Experience with ML optimization techniques (genetic algorithms & gradient-based methods).
• PH. D and 10+ years of experience preferred.
• Proficiency in Matlab and/or Python.

Responsibilities

• Develop battery physics-based models and ML algorithms.
• Model aging mechanisms with physics-based and ML methods.
• Create computationally efficient models for in-system use.
• Develop fast charge algorithms considering aging.
• Verify model accuracy and simulate new cell designs.
• Summarize design issues and contribute to resolutions.
• Serve as technical contact for electrochemical and ML topics.

Skills

Electrochemical processes

Physics-aware ML modeling

ML optimization techniques

Python

MATLAB

Dynamical systems modeling

Education

MS degree

PhD (preferred)

Job description

Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what's considered feasible? As part of our Battery Engineering group, you'll help craft creative battery algorithm and modeling solutions that deliver more energy in smaller spaces than ever before! Join us, and you'll help us innovate new battery technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you'll push the industry boundaries of what batteries can do and improve the product experience for our customers across the world.

Description

This position will develop battery physics-based models and machine learning algorithms to optimize battery performance.

Responsibilities

• Mathematical modeling of the electrochemical behavior of lithium-ion cells using partial differential equations (PDEs) or systems of ordinary differential equations (ODEs)
• Model battery aging mechanisms into mathematical representations using physics-based model and machine learning models
• Work with battery pack engineers to generate computationally efficient models that can be used as a basis for in-system implementation.
• Develop fast charge algorithms in Apple products while handling aging of batteries
• Work with battery engineering groups to verify accuracy of battery models and performance simulation of new cell designs.
• Conduct investigations, prepare status reports related to design and performance issues, and contribute to resolving issues as required.
• Act as technical contact point for electrochemical and aging modeling, control algorithms, machine learning algorithms, and software, techniques and application

Minimum Qualifications

• MS degree.
• Experience in electrochemical processes and performance / safety characterization.
• Experience in physics-aware machine learning modeling and algorithms.
• Experience in machine learning-based optimization techniques such as generic algorithm and gradient-based ML algorithms.

Preferred Qualifications

• PhD and 10+ years relevant industry experience.
• Experience in Matlab and/or Python.
• Experience in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
• Experience deploying physics-based hybrid machine learning models into mass production products.
• Understanding of current state of the art production processes applicable to lithium rechargeable cells.

Pay & Benefits

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 $184,700 and $324,800, 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.