Summary 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.
EEO Statement 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
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Application Deadline Apple accepts applications to this posting on an ongoing basis.
