Battery Algorithm and Modeling Engineer
at Apple
Cupertino, California, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 09 Sep, 2024 | USD 256500 Annual | 10 Jun, 2024 | 3 year(s) or above | Matlab,Machine Learning,Simulink,Algorithms,State Estimation,Time Series Analysis,Algorithm Design,Dynamic Modeling,Dynamical Systems,Mathematical Modeling,Optimization,Electrochemistry | No | No |
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Description:
SUMMARY
Posted: Jun 6, 2024
Role Number:200554312
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.
- BS and a minimum of 3 years relevant industry experience.
- Experienced in dynamic modeling, statistical and machine learning algorithm design.
- Proven experience on optimization, time series analysis, state estimation and control algorithms.
- Demonstrated experience in using modeling and simulation tools like MATLAB, Simulink and other specialized tools.
PREFERRED QUALIFICATIONS
- MS or PhD with relevant experience is preferred.
- Good understanding of Li-ion battery modeling.
- Strong skills in mathematical modeling of linear and nonlinear dynamical systems and distributed parameter systems.
- Experience in writing efficient codes to analyze large data sets.
- Knowledge in detailed battery modeling and electrochemistry.
- Expertise in C/C++ programming.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:3.0Max:8.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Phd
Proficient
1
Cupertino, CA, USA