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Battery Modeling Research Engineer - Redmond, United States - Meta Platforms, Inc.
Description
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.
Battery Modeling Research Engineer ResponsibilitiesHelp 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
Minimum Qualifications
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
Preferred Qualifications
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
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Individual pay is determined by skills, qualifications, experience, and location.
Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable.
In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.