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Battery Algorithm and Modeling Engineer
Cupertino,California,United States
Hardware
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. 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 Systems? In this role you will apply your skills as a modeling and algorithm engineer to design and develop future battery 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.
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.
Minimum Qualifications
BS degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Computer Science, or related field and a minimum of 3 years relevant industry experience
Experienced in dynamic modeling using modeling and simulation tools like MATLAB, Simulink and other specialized tools.
Key Qualifications
Preferred Qualifications
PhD degree with relevant experience is preferred
Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
Good experience on statistical and machine learning algorithm design, optimization, time series analysis, state estimation and control algorithms
Good understanding of Li-ion battery modeling.
Experience in writing efficient codes to analyze large data sets is preferred
Knowledge in detailed battery modeling and electrochemistry is a plus.
Expertise in C/C++ programming is a plus.
Education & Experience
Additional Requirements
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 $143,100 and $264,200, 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 (https://www.apple.com/careers/us/benefits.html) 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.