Battery Algorithm and Model Calibration Engineer at Apple
Cupertino, CA 95014, USA -
Full Time


Start Date

Immediate

Expiry Date

05 Aug, 25

Salary

248700.0

Posted On

05 May, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Matlab, Electrochemistry, Materials Science, Python, Data Mining, Processing, Protocol Development, Power Management, Algorithm Design, Chemical Engineering

Industry

Electrical/Electronic Manufacturing

Description

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. Are you interested to work on the forefront of Battery Systems? In this role you will utilize your expertise in both electrochemical and electrical testing and characterization to calibrate 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 with a deep understanding of battery behavior and characterization techniques both from design and application perspectives. In this position you will be expected to use a combination of electrochemical and electrical engineering knowledge to: - Develop tools and techniques to benchmark next generation battery materials and designs for product integration - Develop battery characterization protocols to calibrate next generation battery algorithms - Apply machine learning and other strategies to battery testing and field data to forecast future and corner case battery algorithm and model performance - Develop procedures to determine performance of battery longevity, power delivery, and thermal behavior in system - Requires hands on lab work and bench testing in addition to data mining and computing

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science or related field and a minimum of 3 years relevant industry experience
  • Experience with battery cycling equipment such as Maccor, Arbin, Bio-logic

PREFERRED QUALIFICATIONS

  • MS or higher in technical discipline with relevant experience is preferred
  • Strong background in electrochemistry with understanding of Li-battery performance characterization and analysis such as fast-charge protocol development, identifying and predicting degradation mechanisms, impedance modeling
  • Experience with Matlab or Python for large scale data mining and processing
  • Experience with cell R&D techniques such as 3-electrode and symmetric cell is a plus
  • Experience with and understanding of battery algorithm design, battery gauging, and system power management is preferred
Responsibilities

Please refer the Job description for details

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