Battery Electrochemistry Modeling - Engineering Lead
Santa Clara Valley (Cupertino), California, United States
Hardware
Are you looking to push the limits of what’s considered feasible? As part of our Battery Engineering group, you’ll be a team member to craft creative battery solutions that deliver more energy in smaller spaces than ever before! We are looking for a highly skilled and experienced Li-ion Battery Electrochemical Modeling Engineering Lead to join our team! You will be responsible for leading the development and implementation of advanced Li-ion battery electrochemical models and simulation tools to improve battery performance, reliability, and safety. You will also be responsible for mentoring a team of electrochemical engineers.
The role is focused on the research and development of cell performance and aging mechanisms and modeling to capture relevant physics underlying these behaviors in the early design architecture phase in order to guide the design decisions and trade-offs. The work will involve multi-disciplinary expertise, primarily electrochemistry (special focus on Li-ion batteries in consumer electronics), mechanical and thermal engineering as well as software development. This role entails deep expertise in the field of battery electrochemistry modeling, and testing as well as numerical methods of data analysis, modeling, and optimization.
Key Qualifications
- BS +10 years of relevant industry experience in physics-based modeling of thermo-electrochemical and mechanical performance/safety characterization of lithium cells.
- Strong understanding of battery materials, chemistry, and manufacturing processes.
- Experience in cell aging mechanism identification, characterization, and modeling.
- Strong background using standard experimental techniques or developing new testing techniques to enable high accuracy of modeling.
- Ability to drive effectively with other specialists and teams to build and validate high-fidelity, high-accuracy models with test data and cell design/manufacture documentation.
- Knowledge of various, the latest testing techniques and standard processes.
- Expertise in numerical methods of optimization, statistical analysis and data evaluation, visualization.
- Demonstrated ability to develop and implement advanced electrochemical models for Li-ion batteries.
- Proficiency in programming and simulation tools such as MATLAB, Simulink, and COMSOL.
- Experience in numerical methods of PDEs and ODEs.
- Proven ability to mentor the team as well as drive technical development roadmap.
- Ability to own and drive large-scale development projects as an individual contributor.
- Previous experience in leading a small engineering team is a plus.
- Strong leadership and project management skills.
Description
- Develop and lead a team of engineers to develop and implement advanced electrochemical models for Li-ion batteries.
- Collaborate with multi-functional teams to integrate models into battery design and development processes.
- Develop and maintain simulation tools for predicting battery performance, aging, and failure modes.
- Conduct research and stay up to date on new technologies and approaches for battery modeling and simulation.
- Use simulation results to guide design decisions and optimize battery performance, reliability, and safety.
- Develop and implement test plans to validate model accuracy and improve model fidelity.
- Communicate technical concepts and results to internal and external stakeholders.
- Mathematical modeling of the electrochemical behavior of lithium-ion cells using reduced order models such as single particle model, P2D model as well as 3D detailed Comsol and coupled multi-physics models.
- Work on modeling capabilities development to enable simulation-driven design guidance in the early cell architecture phase.
- Support battery modeling work for all product lines: iPhone, Watch, Mac, iPad, Audio.
- Work with Cell Engineering, Cell design, and BMU teams to provide support for all NPI programs.
- Conduct literature review to identify topics of interest for internal research and development.
- Collaborate with universities and external labs to develop new techniques and explore new research areas to drive future technologies.
Education & Experience
B.S.+ 10 years of relevant experience. Ph.D. preferred.