Engineer

• Modeling & Algorithm Development
• Design and develop core physics-based battery models and multi-physics simulations that accurately represent cell behavior.
• Engineer and apply ML/Deep Learning algorithms (using libraries like TensorFlow) for predictive modeling, safety assessment, and performance optimization.
• Develop AI4Science algorithms that merge materials physics and computational science to solve complex battery challenges.
• Digital Twin Architecture
• Architect and build the digital twin battery system—a virtual battery trained on real-time cell data to continuously monitor and predict safety and performance metrics.
• Integrate algorithms into big-data systems and infrastructure, ensuring the predictive models are scalable and robust.
• Domain Bridging & Optimization
• Maintain a hybrid understanding of data science, materials physics, algorithm infrastructure, and AI models to ensure model validity and utility.
• Utilize computational tools like COMSOL Multiphysics and finite element analysis (FEA) for complex modeling and simulation tasks.

Battery Algorithm Engineer

Engineer I

Senior Principal Thermal Engineer

RF Engineer

Senior Battery Product Development Engineer

Portfolio Services Engineer