Battery Algorithm Engineer

Summary Posted: Dec 14, 2023 Role Number: 200519241 Envision what you could do here! At Apple, we believe new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you interested to work on the forefront of Battery Management Systems? In this role you will apply your skills as an algorithm engineer to design and develop future BMS algorithms and models for next generation consumer electronic products. You will be part of a multi-functional team to develop new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries. Key Qualifications Key Qualifications Experienced in dynamic modeling, statistical and machine learning algorithm design. Good knowledge of developing solutions using control theories like Kalman filters, state observers and others. Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems. Proficient in using modeling and simulation tools like MATLAB, Simulink and other specialized tools. Experience in writing efficient codes to analyze large data sets. General understanding of Li-ion battery modeling. Knowledge in detailed battery modeling and electrochemistry is a plus. Expertise in C/C++ programming is a plus. Description Description We are looking for an individual who will be developing new class of algorithms and architectures for products to improve the runtime and performance of batteries. In this position you will be expected to use a combination of advanced mathematics, machine learning, electrical engineering, and control engineering knowledge to: • Develop algorithms to estimate State of charge and State of Power of batteries. • Develop machine learning algorithms or mathematical models to predict lifetime cell electrical performance. • Develop advanced battery model and control algorithms to improve battery performance in the system. • Develop models to estimate and optimize cell and pack performance in design phase. • Develop simulation models and tools to evaluate such new algorithms. • Help reduce the complexity of estimation algorithms so that they to implement in resource constrained computing platforms. Education & Experience Education & Experience BS and a minimum of 3 years relevant industry experience. MS with 3+ years of related experience or PhD with relevant experience preferred. Additional Requirements Additional Requirements Pay & Benefits 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 $138,900 and $256,500, 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.