Sr Research Scientist, Battery Algorithms, Energy Storage, Project Jewel
Core
Develop physics-informed and data-driven algorithms to estimate battery state of charge, health, power capability, and remaining life for next-generation energy storage systems.
Role type
Senior Research Scientist (Battery Algorithms)
Builds
Physics-based models and data-driven estimation methods for battery management systems
Domain
Energy Storage / Electrochemistry / Control Theory
Deliverable
production ML models
Required skills
Physics-based modeling, Data-driven estimation methods, Big data technologies (AWS, Hadoop, Spark, Pig, Hive), Quantitative field research, Algorithm validation
Preferred skills
Discrete and continuous optimization methodologies, Converting research studies into real-world changes
Technologies
AWS, Hadoop, Spark, Pig, Hive
Responsibilities
Develop and own algorithms for state of charge, state of health, power capability, and remaining useful life; Design test plans and data strategies to validate algorithms against lab and fleet data; Analyze algorithm performance across deployed fleets to identify drift or failure; Provide algorithm evidence for safety certification; Define accuracy targets and reference implementations for production code.
