Researcher II, Battery Systems & Agentic AI
Core
Develop agentic AI-driven battery intelligence to maximize EV battery performance, safety, and lifetime value by translating physical battery system behavior into intelligent decision-making frameworks.
Role type
Senior IC researcher (battery systems & agentic AI)
Builds
Autonomous battery management strategies and AI decision frameworks for next-generation EV platforms
Domain
Electric vehicle battery systems and artificial intelligence
Deliverable
production ML models
Required skills
Battery Management Systems (BMS) knowledge, Python proficiency, large-scale data analysis, physics-based constraint modeling, computational framework abstraction, predictive modeling
Preferred skills
Reinforcement learning, agent-based systems, vehicle telematics data analysis, cloud-based data platforms, battery degradation modeling, simulation environments, digital twins
Technologies
Python, NumPy, Pandas
Responsibilities
Define battery system states (SOC, SOH, thermal conditions), interpret and formalize BMS logic, design AI systems for autonomous battery decisions, analyze large-scale vehicle and telematics datasets, align physical battery constraints with AI-based decision logic, contribute to next-generation battery intelligence roadmap
Seniority
Senior, hands-on IC