Meta AR/VR Job | Battery Modeling Research Engineer
Job（岗位）: Battery Modeling Research Engineer
Type（岗位类型）: Engineering
Citys（岗位城市）: Sunnyvale, CA
Date（发布日期）: 2024-3-13
Summary（岗位介绍）
At Meta Reality Labs, our goal is to explore, innovate and design the hardware for the next generation of virtual, augmented, and mixed reality experiences. The mission of the battery team is to develop power sources for the devices that enable these experiences.
We are looking for an experienced and motivated Battery Modeling Research Engineer to join our team who specializes in leveraging the principles of electrochemistry to maximize the utilization of Li-ion batteries in our products. We are specifically looking for a candidate highly skilled in developing and validating electrochemical models capable of projecting battery performance degradation in the field.
Qualifications（岗位要求）
BS in Chemical, Material, or Mechanical Engineering or equivalent experience
3+ years of industry experience in developing physics-based battery models for consumer electronics or electric vehicles
Modeling, prototyping and programming skills in MATLAB/Python, and/or COMSOL
Familiarity with standard electrochemical characterization techniques (EIS, GITT, etc.) and experienced in developing custom test procedures in different form factors
Willingness to work across multiple domains including cell, electrical, software and validation engineering
Description（岗位职责）
Design and define research plans, methods, and protocol that deliver on technical roadmap strategy from feasibility to new technology initiatives (NTI) for battery degradation modeling
Identify major battery degradation mechanisms for our products and develop validated first-principle electrochemical battery models to estimate battery swell behavior and performance degradation in the field
Help develop and execute research & NTI roadmap and strategy in close coordination with product, research, and XFN teams
Drive the improvement and development of electrochemical battery models to guide cell design in the architecture phase and eventually incorporate into products
Develop and validate geometrical models to approximate battery dynamics for a common chemistry formulation in different form factors
Leverage insights from electrochemical models to propose real-time algorithms which help achieve the right balance between battery performance metrics such as charge time, cycle life and runtime
Maintain the highest of research standards to ensure validity and reproducibility of results
Understand data collection methods, analyze field data and develop techniques for predicting field performance from validation data and battery models
Additional Requirements（额外要求）
MS or PhD with 5+ years of experience in software development for battery management systems
Familiarity with cell manufacturing processes and major Li-ion cell manufacturers for consumer electronics
Experience with using AI/ML algorithms for battery health diagnostics or forecast
Knowledge of control and estimation theory, model order reduction techniques and their application to Li-ion battery modeling
Experience developing test plans to validate the algorithms and implementation for battery management systems
Working knowledge of battery fuel gauge algorithms for consumer electronics
